Abstract
We consider an open quantum walk on a graph, and the random variables defined as the passage time and number of visits at a given point of the graph. We study in particular the probability that the passage time is finite, the expectation of that passage time, the expectation of the number of visits, and discuss the notion of recurrence for open quantum walks. We also study exit times and exit probabilities from a finite domain, and use them to solve Dirichlet problems and to determine harmonic measures. We consider in particular the case of irreducible open quantum walks. The results we obtain extend those for classical Markov chains.
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1 Introduction
Open quantum walks were defined in [5]. They are extensions of (discrete-time) Markov chains, where the process retains some amount of memory, and this memory is encoded by a quantum state. Open quantum walks are a simple model, which has stirred interest because of its various possible applications (see [36] and references therein for models based on open quantum walks, and [38] on the general topic of control of quantum trajectories) and interesting features and extensions (see [6, 7, 33]). They have therefore given rise to various theoretical studies, investigating e.g. ergodic properties, central limit theorems and large deviations properties (see [4, 9,10,11, 29]). The approach of [10] was to give analogues for open quantum walks of notions usually associated with Markov chains, such as irreducibility and period, and to investigate their consequences. In this article, we continue this program of studying open quantum walks in analogy with Markov chains, and investigate other notions: the probability of visiting a given site in finite time, the expected number of visits, the expected return time, and their relation with the Dirichlet problem. Some of these notions were discussed in e.g. [11, 17], but our study is the first systematic exploration of these concepts and their behavior for irreducible open quantum walks.
The first standard question one may ask about Markov chains treats recurrence problems. Let \((x_n)_n\) be a Markov chain on a discrete set V. For any i in V we define
The classical results (see e.g. [18, 32]) concerning return times \((t_i)_{i\in V}\) and number of visits \((n_i)_{i\in V}\) imply that for any i in V
Therefore, this equivalence allows to define the notion of recurrence using either quantity \({\mathbb {P}}_i(t_i<\infty )\) or \({\mathbb {E}}_i( n_i)\). In addition, if the Markov chain is irreducible,
Similarly, for an irreducible Markov chain,
In addition, if the Markov chain admits an invariant probability measure \((\pi _i)_{i\in V}\), then
The second standard question concerns exit times and exit probabilities. If D is a finite subset of V, we define \(t_{{\partial \! D}}\) as its exit time
where \({\partial \! D}\) is the boundary of D (we give a precise definition later on), and for \(i\in D\), \(j\in {\partial \! D}\) define the harmonic measure at i relative to j by
which represents the probability of exiting D through j when starting from i. It is known that the map \(i\mapsto \mu _{i}^{D}(j)\) is harmonic on D for any \(j\in {\partial \! D}\), and is an important tool in solving Dirichlet problems. In addition, the solution of a Dirichlet problem can be characterized as the minimizer of some functional, related to a Dirichlet form.
In this article we investigate similar relations to (1)–(5), and study an analogue of Dirichlet problems for open quantum walks. We also look at the notion of harmonic measures for open quantum walks. These measures, as well as the Dirichlet problems for open quantum walks, provide simple examples of non-commutative extensions of standard geometrical structures.
This article is organized as follows: in Sect. 2 we recall the definitions of open quantum walks and various notions, including irreducibility and harmonicity. In Sect. 3 we study the relation between return times and number of visits and in particular analogues for OQW of (1), (2) and (3), and discuss the literature on the subject of recurrence for open quantum walks. In Sect. 4 we study the expected values of return times, prove an analogue of (4), and relate these expected values to invariant measures, similar to (5). In Sect. 5 we describe various examples that serve in particular as counterexamples to various possible conjectures. In Sect. 6 we define Dirichlet problems for open quantum walks and characterize their solutions. In Sect. 7 we discuss extensions of various results to reducible open quantum walks. In Sect. 8 we introduce Dirichlet forms for open quantum walks and use them to characterize solutions of Dirichlet problems. In every section, a non-optimal but nevertheless satisfactory result is given early in the introductory part, and the intermediate results necessary for the proof (most of which have weaker assumptions than necessary for the results stated earlier) are detailed in the rest of the section. The proofs are given in the Appendix, unless they contain elements necessary to the comprehension of the text.
2 Open Quantum Walks: Definitions and Notation
We start this section with a short presentation of open quantum walks and the associated notion of irreducibility. We follow the notation of [10] and refer the reader to that article for more details.
We consider a Hilbert space \({\mathcal H}\) of the form \({\mathcal H}= \bigoplus _{i\in V}\mathfrak h_i\) where V is a countable set of vertices, and each \(\mathfrak h_i\) is a separable Hilbert space. We view \({\mathcal H}\) as describing the degrees of freedom of a particle constrained to move on V: the “V-component” describes the spatial degrees of freedom (the position of the particle) while \(\mathfrak h_i\) describes the internal degrees of freedom of the particle, when it is located at site \(i\in V\).
For book-keeping purposes we denote the subspace \(\mathfrak h_i\) of \({\mathcal H}\) by \(\mathfrak h_i \otimes |i\rangle \). Therefore, whenever a vector \(\varphi \in {\mathcal H}\) belongs to the subspace \(\mathfrak h_i\), we will denote it by \(\varphi \otimes |i\rangle \) and drop the (implicit) assumption that \(\varphi \in \mathfrak h_i\). Similarly, when an operator A on \({\mathcal H}\) satisfies \(\mathfrak h_j^\perp \subset \mathrm {Ker}\, A\) and \(\mathrm {Ran}\, A\subset \mathfrak h_i\), we denote it by \(A=L_{i,j}\otimes |i\rangle \langle j|\) where \(L_{i,j}\) is viewed as an operator from \(\mathfrak h_j\) to \(\mathfrak h_i\). This will allow us to use the same notation as in e.g. [4, 5, 26, 28, 33]. Consistently with this notation, for W a subset of V we denote
and \(\mathrm {Id}_W=\sum _{i\in W} \mathrm {Id}_{{\mathfrak h}_i}\otimes |i\rangle \langle i|\). We identify \(\mathcal H_W\) (respectively \(\mathcal B(\mathcal H_W)\)) with a subspace of \(\mathcal H\) (respectively \(\mathcal B(\mathcal H)\)).
An open quantum walk (or OQW) is a map on the Banach space \(\mathcal I _1({\mathcal H})\) of trace-class operators on \({\mathcal H}\), given by
where, for any i, j in V, the operator \(A_{i,j}\) is of the form \(L_{i,j}\otimes |i\rangle \langle j|\) and the operators \(L_{i,j}\) satisfy
(this series is meant in the strong convergence sense). The operators \(L_{i,j}\) represent the effect of a transition from site j to site i, encoding both the probability of that transition and its effect on the internal degrees of freedom. Equation (8) therefore encodes the “stochasticity” of the transitions \(L_{i,j}\), and immediately implies that \(\mathrm {Tr}\,\mathfrak M(\tau ) = \mathrm {Tr}\, \tau \) for any \(\tau \) in \(\mathcal I _1({\mathcal H})\).
Recall that an operator X on \({\mathcal H}\) is called positive (respectively definite positive) if \(\langle \varphi , X\varphi \rangle \ge 0\) (respectively \(\langle \varphi , X\varphi \rangle > 0\)) for any \(\varphi \in {\mathcal H}\setminus \{0\}\). We define a state on \({\mathcal H}\) to be a positive operator in \(\mathcal I_1({\mathcal H})\) with trace one, and call a state faithful if it is definite positive. We denote the set of states on \({\mathcal H}\) (respectively \({\mathfrak h}_i\)) by \(\mathcal S({\mathcal H})\) (respectively \(\mathcal S({\mathfrak h}_i)\)). The map defined by (7) maps a state to a state. It actually has the stronger property of being trace-preserving and completely positive, i.e. for any \(n\in \mathbb {N}\), \(\mathfrak M\otimes \mathrm {Id}_{\mathcal B(\mathbb {C}^n)}\) acting on \(\mathcal I_1(\mathcal H)\otimes \mathcal B(\mathbb {C}^n)\) is positive; such an operator is commonly called a quantum channel, see e.g. [37]. In addition, the topological dual \(\mathcal I_1({\mathcal H})^*\) can be identified with \({\mathcal B}({\mathcal H})\) through the linear form
so that the dual \(\mathfrak M^*\) of \(\mathfrak M\) acts on \(\mathcal B(\mathcal H)\). By the Russo–Dye Theorem (see [34]), we have the relationFootnote 1 \(\Vert \mathfrak M^*\Vert =\Vert \mathfrak M^*(\mathrm {Id}_{\mathcal H})\Vert \), so that relation (8) implies that \(\Vert \mathfrak M\Vert =1\) as an operator on \(\mathcal I_1({\mathcal H})\).
A crucial remark is that the range of \(\mathfrak M\) is a subset of the class of “diagonal” states, i.e. states of the form
where each \(\tau (i)\) is in \(\mathcal I_1({\mathfrak h}_i)\). In addition, even if \(\tau \) is not diagonal, i.e. is of the form \(\tau = \sum _{i,j\in V} \tau (i,j)\otimes |i\rangle \langle j|\), then \(\mathfrak M(\tau )\) depends only on its diagonal elements \(\tau (i,i)\). Therefore, from now on, we will only consider states of the form (9). The action of \(\mathfrak M\) on such states takes the form
As argued in [10] (see in particular section 8), a natural extension of the above framework is to encode the transition from site j to site i not by \(\tau (j)\mapsto L_{i,j}\, \tau (j) \, L_{i,j}^*\), but by a more general completely positive map \(\tau (j)\mapsto \Phi _{i,j}\big (\tau (j)\big )\). We will not discuss this extension any further. Note, however, that all our results hold for these generalized open quantum walks (except for the explicit formulas involving operators \(L_{i,j}\), which need to be amended). The adaptation of the proofs is straightforward.
We now describe a family of classical random processes associated with \(\mathfrak M\). Let \(\Omega =V^{\mathbb {N}}\) and for any state \(\rho \) on \({\mathcal H}\) of the form (9), define on \(\Omega \) a probability by defining its restrictions to \(V^{n+1}\) for \(n\ge 0\):
Relation 8 ensures the consistency of these restrictions, and the Daniell–Kolmogorov extension Theorem implies that \({\mathbb {P}}_\tau \) defines a unique probability on \(\Omega \). We will mostly consider initial states \(\tau \) of the form \(\rho \otimes |i\rangle \langle i|\) with \(\rho \in \mathcal S({\mathfrak h}_i)\), i.e. with initial position i and initial internal state \(\rho \); for notational simplicity, the corresponding probability \({\mathbb {P}}_\tau \) will then be denoted by \({\mathbb {P}}_{i,\rho }\).
We will consider two random processes \((x_n)_n\) and \((\rho _n)_n\) defined for \(\omega =(i_0,i_1,\ldots ) \in \Omega \) by
Note that the variable \(\rho _n\) is a state on \(\mathfrak h_{x_n}\). Besides, the process \((x_n,\rho _n)_n\) is Markov, corresponding to the transitions defined loosely as follows: conditionally on \((x_n=j,\rho _n=\rho )\), one has
Remark that \((x_n)_n\) or \((\rho _n)_n\) considered separately are not Markov processes.
Note that open quantum walks include classical Markov chains. More precisely, consider a Markov chain \((M_n)_n\) on the vertex set V, with probability \(t_{i,j}\) of transition from j to i and initial distribution \((p_i)_{i\in V}\). Define an open quantum walk \(\mathfrak M\) with \(\mathfrak h_i \equiv \mathbb {C}\) and \(L_{i,j}=\sqrt{t_{i,j}}\). If the initial state is \(\tau =\sum _{i\in V} p_i \otimes |i\rangle \langle i|\) then \(\mathfrak M(\tau )\) is of the form
Therefore, \(x_0\) has the same law as \(M_0\) and \(x_1\) has the same law as \(M_1\), etc. This open quantum walk will be called the minimal dilation of the Markov chain (because it is an OQW implementation of the Markov chain with minimal spaces \({\mathfrak h}_i\), see [10] for more details).
We now introduce the notion of irreducibility for open quantum walks. For i, j in V we call a path from i to j any finite sequence \(i_0,\ldots ,i_\ell \) in V with \(\ell \ge 1\), such that \(i_0=i\) and \(i_\ell =j\). Such a path is said to be of length \(\ell \), and we denote the length of a path \(\pi \) by \(\ell (\pi )\). We denote by \({\mathcal P}_\ell (i,j)\) the set of paths from i to j of length \(\ell \), and let
For a fixed OQW \(\mathfrak M\) and \(\pi =(i_0,\ldots ,i_\ell )\) in \({\mathcal P}(i,j)\) we denote by \(L_\pi \) the operator from \(\mathfrak h_i\) to \(\mathfrak h_j\) defined by:
Definition 2.1
An open quantum random walk \(\mathfrak M\) as above is irreducible if for any i, j in V and for any \(\varphi \) in \(\mathfrak h_i\setminus \{0\}\), the set
is total in \(\mathfrak h_j\).
This definition (which is a special case of Davies irreducibility as defined in [14]) and its consequences were introduced in [10]. The main consequence is that for \(\mathfrak M\) an irreducible open quantum walk, the set of solutions of \(\mathfrak M(\tau )=\tau \) is a space of dimension at most one, and one solution is a faithful state.
Remark 2.2
There was a slight ambiguity in the definition of irreducibility as given in [9, 10], where the path “of length zero” \(\pi =\{i\}\) with associated transition \(L_{\{i\}}=\mathrm {Id}_{{\mathfrak h}_i}\) was allowed in (14). In other words, irreducibility was defined by the fact that for any i, j in V and \(\varphi \) in \(\mathfrak h_i\setminus \{0\}\), the set
(with \(\pi \) of length at least one) is total. It is easy, however, to see that this second definition is equivalent to Definition 2.1. Therefore, even though we define irreducibility by Definition 2.1, we can still apply the results of [10].
The following class of open quantum walks will be relevant, and in particular will have properties closer to those of (classical) Markov chains.
Definition 2.3
We say that an open quantum walk \(\mathfrak M\) is semifinite if for any i in V, \(\dim \mathfrak h _i< \infty \). We say that it is finite if it is semifinite and V is a finite set.
Non-semifinite open quantum walks, i.e. those that can have an infinite number of degrees of freedom at a given site \(i\in V\), can exhibit local degeneracies that will make them less interesting to us.
One of the topics of interest in the present paper is that of quantum harmonic operators:
Definition 2.4
An operator \(A=\sum _{i\in V} A_i \otimes |i\rangle \langle i|\) with \(A_i \in {\mathcal B}(\mathfrak h_i)\) for each \(i\in ~V\) is called quantum harmonic if it satisfies \(\mathfrak M^*(A)=A\), or equivalently if
Remark that any operator \(\lambda \mathrm {Id}_{\mathcal H}\), \(\lambda \) in \(\mathbb {C}\), is quantum harmonic. In the case of a minimal dilation of a classical Markov chain, this definition is equivalent to the classical definition of harmonicity. An immediate property of quantum harmonic operators is the following:
Lemma 2.5
Let \(\mathfrak M\) be an open quantum walk and A a quantum harmonic operator for \(\mathfrak M\). Then for any initial \((x_0,\rho _0)\), the Markov chain \((x_n,\rho _n)_n\), with transition probabilities given by Equation (13), is such that \(m_n=\big (\mathrm {Tr}(\rho _n A_{x_n})\big )_n\) is a \({\mathbb {P}}_{x_0,\rho _0}\)-martingale.
Before we move on to the next section, it will be convenient to introduce some additional notation for specific paths. For any i and j in V, and for W a subset of V, we define \({\mathcal P}^{W}(i,j)\) to be the set of paths in \({\mathcal P}(i,j)\) that remain in W except possibly for their start- and endpoint. More precisely:
We denote for any \(\ell \ge 1\) by e.g. \({\mathcal P}_\ell ^{W}\) the subset of \({\mathcal P}^{W}\) consisting of paths of length \(\ell \), etc.
3 Passage Times and Number of Visits
In this section we consider the passage times \(t_j\) to a given point \(j\in V\) and the number of visits \(n_j\) to that point. We define
Recall the standard results (1), (2), (3) in the case where the OQW is a minimal dilation of a Markov chain. The equivalence (1) follows from the markovianity of the process \((x_n)_n\). However, in the general OQW case, the process \((x_n)_n\) alone is not markovian and at least some of the above relations will fail. Indeed, Example 5.1 below with \(i=0\) and \(\rho \ne |e_1\rangle \langle e_1|, |e_2\rangle \langle e_2|\) is such that \({\mathbb {P}}_{i,\rho }(t_i<\infty )<1\) and \({\mathbb {E}}_{i,\rho }(n_i)=\infty \), showing that the analogue of (1) does not hold. Example 5.2, which displays an irreducible OQW, is such that \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) and \({\mathbb {E}}_{i,\rho }(t_i)<\infty \) for \(p<1/2\) and \(i=0\), \(\rho =|e_2\rangle \langle e_2|\). Consequently it shows that this analogue (1) may not even hold for irreducible OQWs.
We therefore have to work some more in order to obtain nontrivial connections between \({\mathbb {P}}_i(t_i<\infty )\) and \({\mathbb {E}}_i(n_i)\), and to obtain universality results in the irreducible case. This will be done in the next two subsections. As a corollary of our investigation, a clear conclusion can be drawn for semifinite irreducible open quantum walks, which we give in Theorem 3.1 below. Its proof, however, relies on all results given in those two subsections. We will finish this section with a discussion of the notion of recurrence for open quantum walks.
Theorem 3.1
Let \(\mathfrak M\) be a semifinite irreducible open quantum walk. We are in one (and only one) of the following situations:
-
1.
for any i, j in V, \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) and \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\);
-
2.
for any i, j in V, \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) and \({\mathbb {P}}_{i,\rho }(t_j<\infty )~<~1\);
-
3.
for any i, j in V, \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has \({\mathbb {E}}_{i,\rho }(n_j)<\infty \), but there exist i in V, \(\rho , \rho '\) in \(\mathcal S({\mathfrak h}_i)\) (\(\rho \) necessarily non-faithful) with \({\mathbb {P}}_{i,\rho }(t_i<\infty )~=~1\) and \({\mathbb {P}}_{i,\rho '}(t_i<\infty )~<~1\).
Remark 3.2
-
1.
Situation 1 is illustrated by any finite irreducible OQW, or by a \((\mathbb {Z},\mathbb {C}^2)\)-simple OQW (see Example 5.5) with \(L_+^*L_+=L_-^* L_-=\frac{1}{2}\,\mathrm {Id}_{\mathbb {C}^2}\).
-
2.
Situation 2 is illustrated by e.g. the minimal dilation of a transient classical Markov chain, or a \((\mathbb {Z},\mathbb {C}^2)\)-simple OQW with, \(L_+^*L_+>\frac{1}{2}\mathrm {Id}_{\mathbb {C}^2}\).
-
3.
Situation 3, which of course is the most surprising in comparison with the case of classical Markov chains, is illustrated by Example 5.2.
3.1 Passage Time vs. Number of Visits: General Results
In this section we investigate the quantities \({\mathbb {P}}_{i,\rho }(t_j<\infty )\) and \({\mathbb {E}}_{i,\rho }(n_j)\), and the relation between them. The proofs relating the two quantities \({\mathbb {P}}_{i,\rho }(t_j<\infty ) \) and \({\mathbb {E}}_{i,\rho }(n_j)\) in the classical case are based on the fact that any path \(\pi \in {\mathcal P}(j,j)\) can be written uniquely as a concatenation of paths \(\pi \in {\mathcal P}^{V\setminus \{j\}}(j,j)\). We will use this simple idea in the present case. This is summarized in Proposition 3.3:
Proposition 3.3
There exists a family \(({\mathfrak P}_{j,i})_{i,j\in V}\), where \({\mathfrak P}_{j,i}\) is a completely positive linear contraction from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_j)\), such that for any i, j in V and any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\),
(where the second expression is possibly \(\infty \)).
Remark 3.4
-
1.
The map \({\mathfrak P}_{j,i}\) can be expressed by:
$$\begin{aligned} {\mathfrak P}_{j,i}(\rho )= \sum _{\pi \in {\mathcal P}^{V\setminus \{j\}}(i,j)} L_\pi \rho L_\pi ^* \end{aligned}$$(see the proof of Proposition 3.3 to see that this expression is meaningful).
-
2.
An immediate consequence of Proposition 3.3 is that
$$\begin{aligned} \Vert {\mathfrak P}_{j,i}\Vert =\sup _{\rho \in \mathcal S({\mathfrak h}_i)}{\mathbb {P}}_{i,\rho }(t_j<\infty ), \end{aligned}$$where the norm is the operator norm on \(\mathcal I_1({\mathcal H})\).
-
3.
It is immediate from the proof that
$$\begin{aligned} {\mathbb {E}}_{i,\rho }\left( \rho _{t_j}\,|\, t_j<\infty \right) = \frac{{\mathfrak P}_{j,i}(\rho )}{\mathrm {Tr}\left( {\mathfrak P}_{j,i}(\rho )\right) }. \end{aligned}$$(16)
We have the following corollary:
Corollary 3.5
Let i, j be in V.
-
1.
One has \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\) if and only if \({\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j})\) has the form \(\begin{pmatrix} \mathrm {Id}&{} 0 \\ 0 &{} *\end{pmatrix}\) in the decomposition \({\mathfrak h}_i=\mathrm {Ran}\,\rho \oplus (\mathrm {Ran}\,\rho )^\perp \). In particular, if there exists a faithful \(\rho \) in \(\mathcal {S}({\mathfrak h}_i)\) such that \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\), then \({\mathbb {P}}_{i,\rho '}(t_j<\infty )=1\) for any \(\rho '\in \mathcal S({\mathfrak h}_i)\).
-
2.
If there exists a faithful \(\rho \) in \(\mathcal {S}({\mathfrak h}_i)\) such that \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\), then one has \({\mathbb {E}}_{i,\rho '}(n_i)=\infty \) for any \(\rho '\in \mathcal S({\mathfrak h}_i)\).
-
3.
If there exists a faithful \(\rho \) in \(\mathcal {S}({\mathfrak h}_i)\) such that \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) and \({\mathfrak h}_i\) is finite-dimensional, then one has \({\mathbb {E}}_{i,\rho '}(n_j)<\infty \) for any \(\rho '\) in \(\mathcal S({\mathfrak h}_i)\).
-
4.
If \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) for every \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), then there exists a completely positive linear bounded map \({\mathfrak N}_{j,i}\) from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_j)\) such that
$$\begin{aligned} {\mathbb {E}}_{i,\rho }(n_j)=\mathrm {Tr}\big ({\mathfrak N}_{j,i}(\rho )\big ), \end{aligned}$$(17)and one has the expression
$$\begin{aligned} {\mathfrak N}_{j,i}(\rho )=\sum _{\pi \in {\mathcal P}(i,j)}L_\pi \rho L_\pi ^*. \end{aligned}$$(18)
Remark 3.6
-
1.
The second part of the first statement, and the second statement, do not hold without the faithfulness assumption, as shown by Examples 5.1 and 5.2.
-
2.
Since \({\mathfrak P}_{j,i}\) is a completely positive contraction, one has \({\mathfrak P}^*_{j,i}(\mathrm {Id}_{{\mathfrak h}_j})\le \mathrm {Id}_{{\mathfrak h}_i}\). In addition, by the Russo–Dye Theorem [34], \(\Vert {\mathfrak P}^*_{j,j}\Vert =\Vert {\mathfrak P}^*_{j,j}(\mathrm {Id}_{{\mathfrak h}_j})\Vert \) so that if \(\Vert {\mathfrak P}^*_{j,j}(\mathrm {Id}_{{\mathfrak h}_j})\Vert <1\), then \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) for every \(\rho \) in \(\mathcal S({\mathfrak h}_i)\) and:
$$\begin{aligned} {\mathfrak N}_{j,i}=\left( \mathrm {Id}-{\mathfrak P}_{j,j}\right) ^{-1}\circ {\mathfrak P}_{j,i}. \end{aligned}$$ -
3.
Again, under the assumptions of point 4, an immediate consequence is
$$\begin{aligned} \Vert {\mathfrak N}_{j,i}\Vert =\sup _{\rho \in \mathcal S({\mathfrak h}_i)}{\mathbb {E}}_{i,\rho }(n_j), \end{aligned}$$and \({\mathfrak N}_{j,i}^{(\alpha )}\) introduced in Sect. 1 satisfies \({\mathfrak N}_{j,i}=\lim _{\alpha \rightarrow 1}{\mathfrak N}_{j,i}^{(\alpha )}\).
-
4.
If \({\mathbb {E}}_{i,|\varphi \rangle \langle \varphi |}(n_j)<\infty \) for a total set of unit vectors \(\varphi \) of an infinite-dimensional \({\mathfrak h}_i\), then \({\mathfrak N}_{j,i}\) can still be constructed as a densely defined (a priori unbounded) selfadjoint operator, thanks to the representation theory for closed quadratic forms (see e.g. [25, Theorem VIII.3.13a]).
We have an easy partial converse to the third statement of Corollary 3.5 (a stronger result will be given under the additional assumption of irreducibility).
Proposition 3.7
Let i be in V and assume that \({\mathfrak h}_i\) is finite-dimensional. If \({\mathbb {P}}_{i,\rho }(t_i<\infty )<1\) for every \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), then \({\mathbb {E}}_{i,\rho '}(n_i) <\infty \) for every \(\rho '\) in \(\mathcal S({\mathfrak h}_i)\).
Remark 3.8
Proposition 3.7 implies in particular that, if \({\mathfrak h}_i\) is finite-dimensional and there exists \(\rho \) in \(\mathcal S({\mathfrak h}_i)\) such that \({\mathbb {E}}_{i,\rho }(n_i)=\infty \), then there exists \(\rho '\) in \(\mathcal S({\mathfrak h}_i)\) such that \({\mathbb {P}}_{i,\rho '}(t_i<\infty )=1\). Note that this does not necessarily hold with \(\rho '=\rho \), as Examples 5.1 and 5.5 show.
3.2 The Irreducible Case
We now turn to the “universality” properties analogous to (2) and (3) that are expected in the irreducible case. We will prove the following:
Proposition 3.9
Let \(\mathfrak M\) be an irreducible open quantum walk and let j be in V. We are in one (and only one) of the following situations:
-
1.
for every i in V there exists a domain \({\mathfrak d}^n_{j,i}\), dense in \({\mathfrak h}_i\), such that the quantity \({\mathbb {E}}_{i,\rho }(n_j)\) is finite for any \(\rho \) that has finite range contained in \({\mathfrak d}^n_{j,i}\),
-
2.
for every i in V, for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), the quantity \({\mathbb {E}}_{i,\rho }(n_j)\) is infinite.
For semifinite OQW, the picture is simpler. We have the following corollary:
Corollary 3.10
Let \(\mathfrak M\) be a semifinite irreducible open quantum walk. We are in one (and only one) of the following situations:
-
1.
the quantity \({\mathbb {E}}_{i,\rho }(n_j)\) is finite for any i, j in V and any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\),
-
2.
the quantity \({\mathbb {E}}_{i,\rho }(n_j)\) is infinite for any i, j in V and any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\).
Remark 3.11
-
1.
Example 5.1 shows that the above statements do not hold without the irreducibility assumption.
-
2.
Example 5.3 shows that any irreducible open quantum walk that admits an invariant state (and in particular a finite OQW) is in case 2 of Corollary 3.10.
The next proposition is the last ingredient to prove Theorem 3.1.
Proposition 3.12
Let \(\mathfrak M\) be an irreducible open quantum walk. Assume that there exists i, j in V with \(\mathrm {dim}\, {\mathfrak h}_i <\infty \), \(\mathrm {dim}\, {\mathfrak h}_j <\infty \) and \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) for some \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). Then \({\mathbb {P}}_{j,\rho '}(t_j<\infty )=1\) for every \(\rho '\) in \(\mathcal S({\mathfrak h}_j)\).
The proof of Theorem 3.1 follows immediately from Corollary 3.5, Proposition 3.7, Corollary 3.10 and Proposition 3.12.
3.3 Notions of Recurrence for Open Quantum Walks
In view of Corollary 3.10, we propose the following terminology:
Definition 3.13
A semifinite irreducible open quantum walk \(\mathfrak M\) is called transient if it satisfies property 1. of Corollary 3.10, and recurrent if it satisfies property 2.
In other words, our classification depends on the quantity \({\mathbb {E}}_{i,\rho }(n_i)\) being finite or infinite. Thanks to Corollary 3.10, for a semifinite irreducible open quantum walk this quantity is universal in the sense that it is either finite for all i and \(\rho \), or infinite for all i and \(\rho \). We now compare this with existing definitions of recurrence for open quantum walks and related objects.
First of all, if the open quantum walk \(\mathfrak M\) is the minimal dilation of a classical Markov chain, then \(\mathfrak M\) is recurrent in our sense if and only if the Markov chain is recurrent in the classical sense.
Fagnola and Rebolledo defined in [20] a notion of recurrence for (continuous-time) quantum dynamical semigroups. When applied to the (discrete-time) quantum dynamical semigroup \((\mathfrak M^n)_n\), this definition of recurrence is that for any operator A of \(\mathcal B(\mathcal H)\) that satisfies \(\langle \varphi , A\varphi \rangle >0\) for any \(\varphi \in \mathcal H\setminus \{0\}\), the set
equals \(\{0\}\). We call this notion FR-recurrence. Our definition of a recurrent OQW, as can be seen from Sect. 1, is equivalent to the fact that for any \(j\in V\), \(D\big (\mathfrak U(A_j)\big )=\{0\}\) for \(A_j=\mathrm {Id}_{{\mathfrak h}_j}\otimes |j\rangle \langle j|\). It is clear that if the OQW is FR-recurrent, then it is recurrent in our sense. If the OQW is not FR-recurrent, then there exists A as above such that \( \sum _{k\ge 0}\langle \varphi , (\mathfrak M^*)^k(A)\, \varphi \rangle < \infty \), and if the OQW is semifinite, then for any j in V there exists \(\lambda _j>0\) such that \(\lambda _j \mathrm {Id}_{{\mathfrak h}_j}\otimes |j\rangle \langle j|\le A\) and the OQW is not recurrent. Therefore, for semifinite OQWs, our notion of recurrence and FR-recurrence are equivalent.
A series of results investigating recurrence of open quantum walks can be found in [11, 28, 29]. In particular, in these references, a site \(i\in V\) is called (LS)-recurrent if (in our terms) one has \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). The OQW is called (LS)-site-recurrent if every site i in V is LS-recurrent. In other words, LS-recurrence classifies sites depending on the quantity
being equal to 1 or not. Corollary 3.10 shows that, for a semifinite irreducible open quantum walk, \( \inf _{\rho \in \mathcal S({\mathfrak h}_i)}{\mathbb {P}}_{i,\rho }(t_i<\infty ) =1\) for some i if and only if it is true for all i (a fact which is not proved in [11, 28, 29]), and also that this is equivalent with recurrence in the sense of Definition 3.13. Therefore, an irreducible semifinite OQW is LS-site-recurrent if and only if it is recurrent in our sense. Without the irreducibility assumption, point 2 of Corollary 3.5 shows that if i is LS-recurrent then \({\mathbb {E}}_{i,\rho }(n_i)=\infty \) for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\); the converse does not hold, as shown by Example 5.4. Note, however, that the quantity \({\mathbb {E}}_{i,\rho }(n_i)\) has the advantage of being universal in i and \(\rho \), in the sense that (for a semifinite irreducible OQW) it is either finite for every i and \(\rho \), or infinite for every i and \(\rho \). This is not true of \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\), as Examples 5.2 and 5.5 show. The reason can be traced back to the fact that the set of “diagonal” \(\varphi =\sum _{i\in V} \varphi _i \otimes |i\rangle \) such that \({\mathbb {P}}_{|\varphi \rangle \langle \varphi |}(t_j <\infty )=1\), even though it is stable by any \(L_\pi \otimes |j\rangle \langle i|\) with \(\pi \in \mathcal P(i,j)\), is not a vector space, and therefore cannot be an enclosure (see the proof of Proposition 3.9 in Sect. 1).
Recently, Dhahri and Mukhamedov discussed a notion of recurrence in [17]. That notion actually concerns quantum Markov chains (objects that originate in [1, 2]), and was defined in [3]. The connection with open quantum walks is established by associating a quantum Markov chain to an open quantum walk. This can be done, however, in different ways, and the property of recurrence depends on the choice of the associated quantum Markov chain. In addition, it is not clear what this notion of recurrence has to do with the properties of the random variables \((x_n)_n\). A major setback, making the associated quantum Markov chains non-canonical, is that they are constructed over the algebra \(\big (\mathcal B(\bigoplus _{i\in V} {\mathfrak h}_i)\big )^{\otimes \mathbb {N}}\); a more direct connection could probably be obtained, at least when \({\mathfrak h}_i\equiv {\mathfrak h}\), by a construction over \(\mathcal B({\mathfrak h})\otimes \big (\mathcal B(\mathbb {C}^V)\big )^{\otimes \mathbb {N}}\), as can be done using the theory of finitely correlated states (see [21]).
Last, remark that, inspired by [24], the authors of [11] discuss an alternate notion of recurrence to a site \(i\in V\). In that new notion, physically speaking, the observer does not at every time n measure the position \(x_n\) of the particle, but measures only whether the particle has returned to i or not. Mathematically, this amounts to considering the probability space defined by \(\tilde{\Omega }=\{0,1\}^\mathbb {N}\), and probability
where we have, for \(\tau \) a state on \(\mathcal H\), and with \(A_{i,j}\) as in (7)
The new notion of recurrence is then related to the first time \(\tilde{t}_i\ge 1\) for which the process defined by \(\tilde{x}_n(\tilde{\omega })=\tilde{\imath }_n\) takes the value 1. It is easy to verify, however, that this \(\tilde{t}_i\) has the same law under \(\tilde{\mathbb {P}}_{i,\rho }\) as \(t_i\) under \({\mathbb {P}}_{i,\rho }\), so that this alternate notion of recurrence is identical to LS-recurrence, as was noted in [11].
4 Expectation of Return Times
We now turn to results analogous to (4). Our first statement is a representation result.
Proposition 4.1
For any i, j in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), we have
If \({\mathbb {E}}_{i,\rho }(t_j)<\infty \) for every \(\rho \in \mathcal S({\mathfrak h}_i)\), then there exists a bounded operator \({\mathfrak T}_{j,i}\) from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_j)\) such that
Remark 4.2
-
1.
In the case where \({\mathbb {E}}_{i,\rho }(t_j)<\infty \) for every \(\rho \in \mathcal S({\mathfrak h}_i)\) we have the expression
$$\begin{aligned} {\mathfrak T}_{j,i}(\rho )=\sum _{\pi \in \mathcal P^{V\setminus \{j\}}(i,j)} \ell (\pi ) \,L_\pi \rho L_\pi ^* \end{aligned}$$ -
2.
We have in addition the identity (with both sides possibly \(\infty \))
$$\begin{aligned} {\mathbb {E}}_{i,\rho }(t_i)=\frac{\mathrm d}{\mathrm d \alpha } \mathrm {Tr}\big ({\mathfrak P}_{i,i}^{(\alpha )}(\rho )\big )\big |_{\alpha =1}. \end{aligned}$$The operators \({\mathfrak P}_{i,i}^{(\alpha )}\) are defined in Sect. 1.
Our first relevant theorem is a universality result in the irreducible case:
Theorem 4.3
Let \(\mathfrak M\) be a semifinite irreducible open quantum walk. We are in one (and only one) of the following situations:
-
1.
for any i in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has \({\mathbb {E}}_{i,\rho }(t_i)<\infty \),
-
2.
for any i in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has \({\mathbb {E}}_{i,\rho }(t_i)=\infty \).
Our proof uses the following intermediate universality result, similar to Proposition 3.9 and which can be useful in a wider setting:
Proposition 4.4
Let \(\mathfrak M\) be an irreducible open quantum walk and let j be in V. We are in one (and only one) of the following situations:
-
1.
for every i in V, there exists a domain \({\mathfrak d}^t_{j,i}\), dense in \({\mathfrak h}_i\), such that the quantity \({\mathbb {E}}_{i,\rho }(t_j)\) is finite for any \(\rho \) in \(\mathcal {S}({\mathfrak h}_i)\) that has finite range contained in \({\mathfrak d}^t_{j,i}\);
-
2.
for every i in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), the quantity \({\mathbb {E}}_{i,\rho }(t_j)\) is infinite.
Our second result relates the invariant state with the expectation of return times. To state it, for \(j\in V\), we define by induction for \(k\in \mathbb {N}\) the k-th return time
Theorem 4.5
Let \(\mathfrak M\) be a semifinite irreducible open quantum walk with an invariant state \({\tau ^{\mathrm {inv}}}=\sum _{i\in V}{\tau ^{\mathrm {inv}}}(i)\otimes |i\rangle \langle i|\). Then we are in situation 1 of Theorem 4.3, and for any i, j in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), the sequence \((t_j^{(k)}/k)_{k}\) converges, with respect to \({\mathbb {P}}_{i,\rho }\), both almost-surely and in the \(\mathrm L^1\) sense, to
The proof is based on the Kümmerer-Maassen ergodic Theorem and Birkhoff’s ergodic Theorem. Note that Theorem 1.6 in [11] shows a result of the same type, but with less explicit assumptions.
5 Examples
Example 5.1
Consider the open quantum walk defined by \(V=\{0,1,2\}\), with \({\mathfrak h}_i=\mathbb {C}^2\) for \(i=0,1,2\) and
all other transitions being zero. This OQW is obviously not irreducible. Denote by \(e_1\), \(e_2\) the canonical basis of \(\mathbb {C}^2\). For \(\rho =\begin{pmatrix}1-r &{} s\\ \overline{s}&{}r\end{pmatrix}\) (with \(r\in [0,1]\) and \(|s|^2\le r(1-r)\), so that \(r=1\) if and only if \(\rho =|e_2\rangle \langle e_2|\)) one has \({\mathbb {P}}_{0,\rho }(t_0<\infty )=1-r\), and \({\mathbb {E}}_{0,\rho }(n_0)= 0\) if \(r=1\), and \(\infty \) otherwise. One therefore has
In this case, it is easy to compute the operator \({\mathfrak P}_{0,0}\):
Therefore, \({\mathfrak P}_{0,0}^{*\,k}(\mathrm {Id}_{{\mathfrak h}_0})=\begin{pmatrix} 1&{} 0 \\ 0 &{} 0 \end{pmatrix}\) for any \(k\ge 1\), so that loosely speaking, one has \(\sum _{k\ge 0}{\mathfrak P}_{0,0}^{*\,k}(\mathrm {Id}_{{\mathfrak h}_0})=\begin{pmatrix} \infty &{} 0 \\ 0 &{} 0 \end{pmatrix}\), consistently with Proposition 3.3.
Example 5.2
Consider the open quantum walk defined by \(V=\{0,1,2,\ldots \}\) with \({\mathfrak h}_0=\mathbb {C}^2\) and \({\mathfrak h}_i=\mathbb {C}\) for \(i>0\), and transition operators
and \(L_{i,i+1}=\sqrt{p}\), \(L_{i+1,i}=\sqrt{q}\) for \(i\ge 1\), with \(p+q=1\) (all other transitions being zero). This OQW is semifinite and irreducible, independently of the value of p. However, it is a simple exercise (using classical results about the gambler’s ruin, see [22]) to see that, depending on the value of p, one has different behaviors for \({\mathbb {P}}_{0,\rho }(t_0<\infty )\) and \({\mathbb {E}}_{0,\rho }(n_0)\):
-
for \(p\ge 1/2\) one has
$$\begin{aligned} {\mathbb {P}}_{0,\rho }(t_0<\infty )&=1&\quad \forall \rho \in \mathcal S({\mathfrak h}_0),\\ {\mathbb {E}}_{0,\rho }(n_0)&=\infty&\quad \forall \rho \in \mathcal S({\mathfrak h}_0),\\ {\mathbb {E}}_{0,\rho }(t_0)&=\frac{2p-r}{2p-1} &\quad \text{ for } \rho =\begin{pmatrix}1-r &{} s\\ \overline{s}&{}r\end{pmatrix}. \end{aligned}$$ -
for \(p<1/2\) one has
$$\begin{aligned} {\mathbb {P}}_{0,\rho }(t_0<\infty )=1 \text{ and } {\mathbb {E}}_{0,\rho }(t_0)=1&\quad \text{ if } \rho =|e_2\rangle \langle e_2|,\\ {\mathbb {P}}_{0,\rho }(t_0<\infty )<1 \quad \text{ and } \ {\mathbb {E}}_{0,\rho }(t_0)=\infty&\quad \text{ if } \rho \ne |e_2\rangle \langle e_2|,\\ {\mathbb {E}}_{0,\rho }(n_0)<\infty&\quad \forall \rho \in \mathcal S({\mathfrak h}_0). \end{aligned}$$
Here again it is easy to compute the operator \({\mathfrak P}_{0,0}\): for any \(\rho \) in \(\mathcal I_1({\mathfrak h}_0)\) we have
In particular, for \(p\ge 1/2\), one has \({\mathfrak P}_{0,0}^{*k}(\mathrm {Id}_{{\mathfrak h}_0})=\mathrm {Id}_{{\mathfrak h}_0}\), and for \(p<1/2\) one has \({\mathfrak P}_{0,0}^{*k}(\mathrm {Id}_{{\mathfrak h}_0})= \begin{pmatrix} u_{k+1} &{} 0 \\ 0 &{} u_k\end{pmatrix}\) with \(u_k\rightarrow 0\) exponentially fast, so that \({\mathfrak P}_{0,0}^{*k}(\mathrm {Id}_{{\mathfrak h}_0})\) is summable. This is consistent with Corollary 3.5. In addition, for \(p\ge 1/2\) one has
Example 5.3
In the case of an irreducible open quantum walk which admits a faithful invariant state (for example a finite irreducible open quantum walk), the Kümmerer–Maassen ergodic Theorem (proved originally in [27], see [31] for an infinite-dimensional extension and [10] for an application to the case of open quantum walks) immediately implies that, for any initial position i in V and any state \(\rho \) in \(\mathcal S(\mathfrak h_i)\), any point j is almost-surely visited infinitely often:
A fortiori, one has \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\) and \({\mathbb {E}}_{i,\rho }(n_j)=\infty \), and therefore the OQW is always recurrent. This is the same as in the classical case, where an irreducible Markov chain on a finite set is always recurrent.
Example 5.4
Consider the open quantum walk with \(V=\{0,1,2,3\}\), \({\mathfrak h}_{0}=\mathbb {C}\) and \({\mathfrak h}_i=\mathbb {C}^2\) for \(i=1, 2, 3\), and
all other transitions \(L_{i,j}\) being zero. One checks by examination that, starting from \(i=1\) and \(\rho =\begin{pmatrix}1-r &{} s\\ \overline{s}&{}r\end{pmatrix}\): with probability \((1-r)/4\) the first step goes to 0 and then the walk stays there and, with probability \((3+r)/4\) the first step goes to 2 and then, after a finite number of steps, goes back and forth between 1 and 2. Therefore, for any \(\rho \), one has \({\mathbb {P}}_{1,\rho }(t_0<\infty )=(1-r)/4\) but \({\mathbb {E}}_{1,\rho }(n_0)=\infty \). Again it is easy to compute \({\mathfrak P}_{1,1}\):
One then has \({\mathfrak P}_{1,1}^{*\,k}(\mathrm {Id}_{{\mathfrak h}_0})=\begin{pmatrix} (3/4)^k &{} 0 \\ 0 &{} 1 \end{pmatrix}\), so that loosely speaking, \(\sum _k {\mathfrak P}_{1,1}^{*\,k}(\mathrm {Id}_{{\mathfrak h}_0})= \begin{pmatrix} 4 &{} 0 \\ 0 &{} \infty \end{pmatrix}\), consistently with Corollary 3.5.
Example 5.5
We consider now the case of (space) homogeneous nearest-neighbor random walks on \(V=\mathbb {Z}\) with \({\mathfrak h}_i\equiv {\mathfrak h}=\mathbb {C}^2\) for all \(i\in \mathbb {Z}\). This OQW is entirely determined by two operators \(L_+\) and \(L_-\) on \(\mathbb {C}^2\) satisfying \(L_+^* L_+ + L_-^* L_-=\mathrm {Id}_{{\mathfrak h}}\). We call such an open quantum walk a \((\mathbb {Z},\mathbb {C}^2)\)-simple OQW. It is proven in [11] that:
-
1.
if \(L_{+}^{*} L_+=L_{-}^{*}L_-=\{1/2\}\) then \({\mathbb {P}}_{i,\rho }(t_i<\infty )~=~1\) for any i and \(\rho \),
-
2.
if \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for any i and \(\rho \) with \(L_+\), \(L_-\) normal, then \(L_{+}^{*}L_+=L_{-}^{*}L_-=\{1/2\}\).
With the tools developed in this section, we can recover the first point and make the second more precise. First, if \(L_{+}^{*}L_+=L_{-}^{*}L_-=\{1/2\}\) then
which, by the results on (classical) simple random walks, is just \(\mathrm {Id}_{\mathfrak h}\), and by Corollary 3.5, \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for any \(\rho \). Second, assume that \(L_+\) and \(L_-\) are normal, and consider a diagonal basis for \(L_+^* L_+\) (and therefore for \(L_-^* L_-\)). In this basis, one has
with \(p_k+q_k=1\), \(k=1,2\). It is then easy to show that if a path \(\pi \) is made of \(n_+(\pi )\) “up” steps, and \(n_-(\pi )\) “down” steps, then
and using again standard results on simple random walks we have
Therefore, if \(L_+\) and \(L_-\) are normal, then:
-
if \(p_1=p_2=1/2\), then \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for any i and \(\rho \), and therefore \({\mathbb {E}}_{i,\rho }(n_i)=\infty \);
-
if \(p_1\) and \(p_2\) are both \(\ne 1/2\), then \({\mathbb {P}}_{i,\rho }(t_i<\infty )<1\) for any i and \(\rho \), and therefore \({\mathbb {E}}_{i,\rho }(n_i)<\infty \);
-
if e.g. \(p_1=1/2\) and \(p_2\ne 1/2\) then \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for \(\rho =|e_1\rangle \langle e_1|\) and \(<1\) otherwise. If furthermore the OQW is irreducible (see [9, Proposition 6.12] for a necessary and sufficient condition), then by Theorem 3.1 one has \({\mathbb {E}}_{i,\rho }(n_i)=\infty \) for any i and \(\rho \).
A natural question is what happens when we drop the assumption of normality for \(L_+\) and \(L_-\). We can still assume the form (23); if \(\sup (p_1,p_2)<1/2\) or \(\inf (p_1,p_2)>1/2\) and \(L_+\), \(L_-\) do not have an eigenvector in common, then [9, Theorem 5.4] implies that the process satisfies a law of large numbers \(x_n/n \rightarrow m\ne 0\) almost-surely, and satisfies a large deviations principle with respect to any \({\mathbb {P}}_{i,\rho }\). This is enough to show that \({\mathbb {E}}_{i,\rho }(n_i)<\infty \) for any i and \(\rho \). On the other hand, if e.g. \(p_1>1/2\) and \(p_2<1/2\) then we can still have \({\mathbb {P}}_{i,\rho }(t_i<\infty )=1\) for any i and \(\rho \): consider (as suggested by [11]) the case
where \(L_{+}^{*}L_+ = L_{-}^{*} L_-=\{0,1\}\). By [9, Proposition 6.12], this open quantum walk is irreducible. In addition, for any \(\pi =(i_0,\ldots ,i_\ell )\), denoting \(\varepsilon =i_1-i_0\), one shows that \(2^{\ell (\pi )/2}\,L_\pi \) equals
We can therefore compute, again using results for simple random walks,
We therefore have \({\mathfrak P}^*_{0,0}(\mathrm {Id}_{{\mathfrak h}_0})=\mathrm {Id}_{{\mathfrak h}_0}\), so that \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\) and \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) for any i, j and \(\rho \). In addition, \({\mathbb {E}}_{i,\rho }(t_i)=\infty \) for any i and \(\rho \).
6 Exit Times and Dirichlet Problems on Finite Domains
In this section, we consider a finite subset D of V and study whether, conditionally on starting with \(x_0\) in D, the position process \((x_n)_n\) reaches the boundary \({\partial \! D}\) of D (which we define below) in finite time. We then study the related problem of solving Dirichlet problems of the type \(\big ((\mathrm {Id}-\mathfrak M^*)(Z)\big )_i=A_i\) for every i in D, with a boundary condition \(Z_j=B_j\) for \(j\in {\partial \! D}\). Before we start, however, let us discuss shortly the Dirichlet problem on V. We consider an irreducible open quantum walk \(\mathfrak M\), fix \(A=\sum _{i\in V} A_i\otimes |i\rangle \langle i|\) with \(A_i\) in \(\mathcal {B}({\mathfrak h}_i)\) for all i, and look for a solution Z of the equation \((\mathrm {Id}-\mathfrak M^*)(Z)=A.\) As in the classical case (see e.g. [30]), the form of the solution differs, depending on the recurrence or transience of the OQW. We give here only a simple result in the transient case. We define the Dirichlet problem on V with data A as the following equation with unknown Z:
The operators \({\mathfrak N}_{j,i}\) as defined in (18) play a central role in this section.
Proposition 6.1
Let \(\mathfrak M\) be an open quantum walk such that \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) for any i, j in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). If we assume that \(A=\sum _{i\in V} A_i\otimes |i\rangle \langle i|\) is such that for any i in V, \(\sum _{j\in V}\Vert {\mathfrak N}_{j,i}^*\big (A_j\big )\Vert <\infty \), then the operator
satisfies (24). If in addition \(\mathfrak M\) is irreducible, then any two solutions of (24) differ only by an operator \(\lambda \mathrm {Id}_{\mathcal H}\).
The form of Z can be guessed by analogy with the classical case, so that this result is obtained by direct computation.
We will give analogous results for the Dirichlet problem on a bounded domain. We start by defining precisely the boundary \({\partial \! D}\) of D relative to an open quantum walk \(\mathfrak M\):
We say that \(Z=\sum _{i\in V} Z_i\otimes |i\rangle \langle i|\) is a solution to the Dirichlet problem on D with data A and boundary condition B if
A key step in order to solve explicitly this equation will be to prove that the exit time for D, defined as
is \({\mathbb {P}}_{i,\rho }\)-almost-surely finite for any i in D and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). Our main results are summarized in the following statement:
Theorem 6.2
Let \(\mathfrak M\) be a semifinite irreducible open quantum walk and let D be a finite subset of V such that \({\partial \! D}\ne \emptyset \). Then for any i in D and any state \(\rho \) on \(\mathfrak h_i\),
In addition, for any \(A=\sum _{i\in D} A_i\otimes |i\rangle \langle i|\) and \(B=\sum _{j\in {\partial \! D}} B_j\otimes |j\rangle \langle j|\), the Dirichlet problem (26) has a solution, and any two solutions of (26) differ by an operator with support in \(\mathcal H_{V\setminus (D\cup {\partial \! D})}\).
The steps in order to prove this, and related results, are described in Subsects. 6.1 and 6.2.
6.1 Exit Times: The Irreducible Case
We now focus on the particular case where the OQW is irreducible. Our first technical result, which plays an analogous role to Proposition 3.3, is the following:
Proposition 6.3
Let \(\mathfrak M\) be an open quantum walk and let D be a finite subset of V such that \({\partial \! D}\ne \emptyset \). Then there exists a family \(({\mathfrak P}^D_{j,i})_{i\in D,j\in D\cup {\partial \! D}}\), where \({\mathfrak P}^D_{j,i}\) is a completely positive linear contraction from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_j)\), such that each
is again a completely positive linear contraction from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_{\partial \! D})\). Moreover, for any i in D, j in \(D\cup {\partial \! D}\) and any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), one has
Remark 6.4
Again, a byproduct of our proof will be the expression
We also obtain the relations
The first part of Theorem 6.2 is shown in the following proposition. Apart from having its own interest, it will be a key step in solving the Dirichlet problem:
Proposition 6.5
Let \(\mathfrak M\) be an irreducible open quantum walk and let D be a finite subset of V such that \({\partial \! D}\ne \emptyset \). Then, for any i in D such that \(\mathrm {dim}\,{\mathfrak h}_i<\infty \) and any state \(\rho \) on \(\mathfrak h_i\), one has
The main consequence of Proposition 6.5 is the following:
Lemma 6.6
Under the assumptions of Proposition 6.5, for any j in D such that \(\mathrm {dim}\,{\mathfrak h}_j<\infty \), the map \({\mathfrak P}^D_{j,j}\) has norm \(\Vert {\mathfrak P}^D_{j,j}\Vert <1\). For any i in D one can define \({\mathfrak N}^D_{j,i}=(\mathrm {Id}- {\mathfrak P}^D_{j,j})^{-1}\circ {\mathfrak P}^D_{j,i}\). Then, defining
one has for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\) the identity
Remark 6.7
Under the assumptions of Lemma 6.6, the operator \({\mathfrak N}^D\) satisfies
which shows in particular the obvious relation \({\mathfrak N}^D_{j,i}={\mathfrak P}^D_{j,i}\) for \(i\in D\), \(j\in {\partial \! D}\).
6.2 Dirichlet Problems on D: The Irreducible Case
We now turn to the Dirichlet problem on a finite domain D. Recall that \(Z=\sum _{i\in V} Z_i\otimes |i\rangle \langle i|\) is said to be a solution to the Dirichlet problem on D with data A and boundary condition B if it is a solution of Equation (26), which we recall:
The solution to these equations has a very simple form, now that we have introduced the operators \({\mathfrak N}^D_{j,i}\) and \({\mathfrak P}^D_{j,i}\).
Proposition 6.8
Let \(\mathfrak M\) be an irreducible, semifinite open quantum walk and let D be a finite subset of V such that \({\partial \! D}\ne \emptyset \). For any
the operator
is well-defined, and is a solution to the Dirichlet problem (26). Any two solutions of (26) differ by an operator with support in \(\mathcal H_{V\setminus (D\cup {\partial \! D})}\).
6.3 Harmonic Measures: The Irreducible Case
Given a finite subdomain D of V, the harmonic measure quantifies the probability for an OQW starting in D to escape from D by a given point of its boundary \({\partial \! D}\). It is intimately related to the Dirichlet problem.
Definition 6.9
Let D be a finite subset of V such that \({\partial \! D}\ne \emptyset \). Let \(\mathfrak M\) be an irreducible and semifinite open quantum walk, conditioned to start at i in D with initial state \(\rho \) in \(\mathcal {S}({\mathfrak h}_i)\). Let j be in \({\partial \! D}\). Recall the definition of the stopping time \(t_{{\partial \! D}}=\mathrm {inf}\{n\in \mathbb {N}\,|\,x_n\in {\partial \! D}\}\). The harmonic measure at j relative to i and \(\rho \) is defined as
Recall that for an irreducible and semifinite OQW, the escape time \(t_{{\partial \! D}}\) is finite with probability 1. The previous propositions directly imply the following:
Proposition 6.10
The harmonic measure is linear in \(\rho \). More precisely, for \(i\in D\), \(j\in {\partial \! D}\), \(\rho \in \mathcal S({\mathfrak h}_i)\),
with \({\mathfrak P}^D_{j,i}(\rho )=\sum _{\pi \in \mathcal {P}^D(i,j)} L_\pi \rho L^*_\pi \) (consistently with (27)). Moreover,
Of course by Proposition 6.5, \(\sum _{j\in {\partial \! D}} \mu ^D_{i,\rho }(j) =1\), as we assume the OQW to be irreducible.
Remark 6.11
The connection with the Dirichlet problem is twofold, as usual. First, by linearity in \(\rho \) let us write the harmonic measure as :
with \(\mathfrak {I}^D_{j,i}= {{\mathfrak P}^D_{j,i}}^*(\mathrm {Id}_{\mathfrak {h}_j})=\sum _{\pi \in \mathcal {P}^D(i,j)} L^*_\pi L_\pi \). Let \(I^D_j\in \mathcal {B}(\mathcal {H})\) be defined by
Then \(I^D_j\) is quantum harmonic in D (i.e \(\big ((\mathrm {Id}-\mathfrak M^*)(I^D_j)\big )_k=0\) for \(k\in D\)) with boundary condition \(\mathrm {Id}_{\mathfrak {h}_j}\otimes |j\rangle \langle j|\) on \({\partial \! D}\). Furthermore, one has \(\sum _{j\in {\partial \! D}} I^D_j = \mathrm {Id}_{D \cup {\partial \! D}}\), so that \(I^D_j\) may be viewed as a non-commutative quantum analogue of a harmonic measure.
This link with the Dirichlet problem potentially gives an alternative way to evaluate the harmonic measure. Indeed, assuming the harmonic measure to be linear in \(\rho \) (as expected from quantum mechanics), it is then fully determined by solving a Dirichlet problem. Suppose (as we actually proved) that \(\mu ^D_{i,\rho }(j)\) is linear in \(\rho \), and let us write \(\mu ^D_{i,\rho }(j) = \mathrm {Tr}(\mathfrak {I}^D_{j,i}\, \rho )\) (without knowing the explicit expression of \(\mathfrak {I}^D_{j,i}\)). Then conditioning on the first step of the OQW proves that \(I^D_j=\sum _{i \in D} \mathfrak {I}^D_{j,i}\otimes |i\rangle \langle i| + \mathrm {Id}_{\mathfrak {h}_j}\otimes |j\rangle \langle j|\) is quantum harmonic in D with the appropriate boundary conditions. Furthermore, if \(I_j^D\) is quantum harmonic in D with boundary condition \(\mathrm {Id}_{\mathfrak {h}_j}\otimes |j\rangle \langle j|\) then, by Lemma 2.5, \((m_j^D)_n=\mathrm {Tr}((I_j^D)_{x_n}\rho _n)\) stopped at \(n=t_{{\partial \! D}}\) is a \(\mathbb {P}_{i,\rho }\)-martingale. The optional sampling Theorem then yields
7 Results for Reducible Open Quantum Walks
In this section, we collect some properties regarding passage times, number of visits and exit times for reducible open quantum walks. We begin by recalling some results regarding decompositions of reducible open quantum walks from [10].
We fix an open quantum walk \(\mathfrak M\). By [10, Proposition 7.11], there exists an orthogonal decomposition of \({\mathcal H}\)
where we have
We denote the space (35) by \(\mathcal {R}\); we also let \(\mathcal D = \mathcal R^\perp \). The restriction \(\mathfrak M^\kappa \) of \(\mathfrak M\) to \(\mathcal I_1({\mathcal H}^{\kappa })\) is an irreducible OQW, and \(\mathcal {D}=\{0\}\) if and only if \(\mathfrak M\) has a faithful invariant state. In addition, each \({\mathcal H}^\kappa \) is an enclosure, i.e. has a decomposition
where every \(\mathfrak h^\kappa _i\) is a subspace of \(\mathfrak h_i\), and for any i, j in V one has \( L_{i,j}\,\mathfrak h^\kappa _j \subset \mathfrak h^\kappa _i\). The decomposition (34) is non-unique, as is discussed in [10, Sects. 6 and 7]; we fix, however, one such decomposition, and denote by \(\mathfrak M^\kappa \) the open quantum walk induced by \(\mathfrak M\) on \(\mathcal I_1({\mathcal H}^\kappa )\). We define for every \(\kappa \) in K the set \(V^\kappa = \big \{i\in V\, |\, \mathfrak h^\kappa _i \ne \{0\} \big \}.\)
For any i in V, \(\mathfrak h_i\) has a decomposition \(\mathfrak h^{\mathcal D}\oplus \bigoplus _{\kappa \in K} \mathfrak h^\kappa _i\). Then, any state \(\rho _i\) on \(\mathfrak h_i\) can be written in block matrix form \(\rho =(\rho _i^{\kappa ,\kappa '})_{\kappa ,\kappa '\in K\cup \{0\}}\), where the index 0 corresponds to \(\mathcal D\). We denote by \(\rho _i^{\kappa }\) the diagonal blocks: \(\rho _i^{\kappa } = \rho _i^{\kappa ,\kappa }\). The main tool in this section is a simple observation: for any path \(\pi \in {\mathcal P}_\ell (i,j)\) starting at i, the probability of observing, as \(\ell \) first steps, the trajectory \(\pi =(i_0,\ldots ,i_\ell )\) with initial conditions \((i,\rho )\) satisfies
In addition, if \(\rho \) has support in \(\mathcal R\), then inequalities in (36) become an equality. If we denote by e.g. \({\mathfrak P}_{j,i}^{\kappa }\) the operator \({\mathfrak P}_{j,i}\) associated with the OQW \(\mathfrak M^*\), etc. then we have the following result:
Proposition 7.1
Assume that the open quantum walk \(\mathfrak M\) admits a decomposition (34). Then, for any \(\rho \) in \(\mathcal S({\mathcal H})\),
(where as before we assume that D is a finite domain such that \({\partial \! D}\ne \emptyset \)), and each of these inequalities becomes an equality if we assume that \(\rho \) has support in \(\mathcal R\).
If the support of \(\rho \) is contained in \(\mathcal R\) (in particular if \(\mathcal D=\{0\}\)) then since \(\sum _{\kappa \in K} \mathrm {Tr}\,\rho ^{\kappa }=1\), it is easy to characterize e.g. the equality \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\), or the finiteness of \({\mathbb {E}}_{i,\rho }(n_j)\), in terms of the sub-open quantum walks \(\mathfrak M^{\kappa }\) (to which our various results for irreducible open quantum walks apply).
8 Variational Approach to the Dirichlet Problem
We assume throughout this section that \({\tau ^{\mathrm {inv}}}=\sum _{i\in V}{{\tau ^{\mathrm {inv}}}(i)\otimes |i\rangle \langle i|}\) is an invariant state for the OQW \(\mathfrak M\), which furthermore is faithful. In all of this section we write \(\tau _\diamond \) instead of \({\tau ^{\mathrm {inv}}}\), i.e. we let
Our goal in this section is to characterize the solutions of the Dirichlet problem given by Equation (26) as minimizers of a certain functional, involving the Dirichlet form associated to the OQW. The present Dirichlet forms are simple, discrete-time versions of the non-commutative extensions of classical Dirichlet forms (such extensions were studied first by Davies and Lindsay in [15], see also [12, 13, 16]).
We first focus on the definition of the Dirichlet form and its properties. Define on \({\mathcal B}({\mathcal H})\) the scalar product
Definition 8.1
The Dirichlet form associated to the open quantum walk \(\mathfrak M\) is the quadratic form
We also denote \( {\mathcal E}(X)= {\mathcal E}(X,X)\), for \(X\in {\mathcal B}(\mathcal {H})\).
The central hypothesis in the following is the detailed balance condition.
Definition 8.2
We say that the open quantum walk \(\mathfrak M\) satisfies the detailed balance condition with respect to \(\tau _\diamond \) if \(\mathfrak M^*\) is selfadjoint with respect to the scalar product \(\langle {\,\cdot \,},{\,\cdot \,}\rangle _\diamond \).
Note that we reserve the notation \(\mathfrak M^*\) for the adjoint of \(\mathfrak M\) with respect to the duality between \(\mathcal I^1(\mathcal H)\) and \(\mathcal B(\mathcal H)\). The detailed balance condition is satisfied, in particular, if
It has two immediate consequences:
Lemma 8.3
If the open quantum walk \(\mathfrak M\) satisfies the detailed balance condition, then \(\mathcal {E}(X)\ge 0\) for any \(X\in \mathcal B(\mathcal H)\). If in addition \(\mathfrak M\) is irreducible, then \(\mathcal {E}(X)=0\) if and only if \(X\in \mathbb {C}\mathrm {Id}_{\mathcal H}\).
8.1 Dirichlet Problem on the Whole Domain
Quantum harmonic operators are easily characterized as minimizers of the Dirichlet form. Indeed, the detailed balance condition implies that \({\mathcal E}(X)\ge 0\), with equality if and only if \((I-\mathfrak M^*)(X)=0\), that is, if X is harmonic.
Proposition 8.4
Suppose that \(\mathfrak M\) satisfies the detailed balance condition. Then X is a quantum harmonic observable if and only if \({\mathcal E}(X)\) is minimal, if and only if \({\mathcal E}(X)=0\).
8.2 Dirichlet Problem on a Sub-domain
We now focus on the Dirichlet problem on a finite domain \(D\subset V\), that we suppose to be non-empty. Recall the definition of the inner data A and the outer data B as
where \(A_j,B_j\in \mathcal B({\mathfrak h}_j)\) for all j.
Our theorem is the following. An analogue of this result can be found in [12] for more general non-commutative Dirichlet forms.
Theorem 8.5
Let \(\mathfrak M\) be an irreducible open quantum walk with detailed balance condition and D a finite domain of V such that \({\partial \! D}\ne \emptyset \). Then any solution of the Dirichlet problem
is of the form \(X_0+B+ Y\), where Y has support in \(\mathcal H_{V\setminus (D\cup {\partial \! D})}\) and \(X_0\) is the unique minimizer over the set \(\mathcal {B}\left( \mathcal {H}_D\right) \) of the functional
8.3 The Case of Doubly Stochastic Open Quantum Walks
In this last section we point out that the Dirichlet form can alternatively be written in terms of first order discrete derivatives (to be defined below) in the special case of doubly stochastic OQW, i.e. for open quantum walks that satisfy \(\mathfrak {M}^*=\mathfrak {M}\).
Proposition 8.6
Let \(\mathfrak {M}\) be a doubly stochastic open quantum walk satisfying \(\mathfrak {M}^*=\mathfrak {M}\). Then \(\mathcal {E}(X)\) equals
where \((\nabla X)_{i,j}= X_iL_{i,j}-L_{i,j}X_j\) for \(X=\sum _{j\in V} X_j\otimes |j\rangle \langle j| \in \mathcal {B}(\mathcal {H})\).
Positivity of the Dirichlet form is then manifest in (40). Notice that the passage from the definition of the Dirichlet form in (38) to the formula (40) amounts to an integration by part. This presentation of the Dirichlet form in terms of first order difference operators can easily be extended to finite sub-domains if one includes appropriate boundary terms arising from the discrete integration by part.
Notes
Note that the two norms \(\Vert \cdot \Vert \) in this relation are different, the first being the norm for operators acting on \(\mathcal B({\mathcal H})\), the second the norm for operators acting on \({\mathcal H}\).
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Acknowledgements
All three authors acknowledge the support of ANR project StoQ “Stochastic Methods in Quantum Mechanics”, n\({}^\circ \)ANR-14-CE25-0003. They also want to thank Stéphane Attal for discussions at an early stage of this project, and Hugo Bringuier for his careful reading and corrections.
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Appendices
Appendix 1: Proofs for Section 2
Proof of Lemma 2.5:
Conditionally on \((x_n,\rho _n)\), one has for all i in V
with probability \(\mathrm {Tr}(L_{i,x_n}\rho _{n}L_{i,x_n}^*)\), so that
\(\square \)
Appendix 2: Proofs for Section 3
We start by computing simple expressions for the quantities \({\mathbb {P}}_{i,\rho }(t_j<\infty )\) and \({\mathbb {E}}_{i,\rho }(n_j) \):
Lemma 8.7
We have the identities
where the second expression is possibly \(\infty \).
Proof
We have \({\mathbb {P}}_{i,\rho }(x_1=i_1,\ldots ,x_\ell =i_\ell )=\mathrm {Tr}(L_\pi \rho L_\pi ^*)\) where \(\pi =(i,i_1,\ldots ,i_\ell )\). In addition,
which leads to the first formula. We also have immediately \({\mathbb {P}}_{i,\rho }(x_k=j)=\sum _{\pi \in {\mathcal P}_k(i,j)} \mathrm {Tr}(L_\pi \rho L_\pi ^*)\), and the second formula follows from
\(\square \)
Proof of Proposition 3.3
We begin with the definition of \({\mathfrak P}_{i,j}\). For any \(\rho \) in \(\mathcal I_1({\mathfrak h}_i)\setminus \{0\},\) the triangle inequality for the trace norm implies that
so that
Consequently, by the Banach–Steinhaus Theorem, the operator on \(\mathcal I_1({\mathfrak h}_i)\) defined by
is everywhere defined and bounded.
This proves the first identity in Proposition 3.3. To prove the second we need a series of technical results. Our strategy is the same as in the classical case: we introduce a weight on the length of paths, in order to tame the possible divergence of the series giving \({\mathbb {E}}_{i,\rho }(n_j)\) in Lemma 8.7. First note that, for any \(i,j\in V\) and any \(\alpha \in (0,1)\), there exists a bounded, completely positive map \({\mathfrak N}_{j,i}^{(\alpha )}\) from \(\mathcal I_1({\mathfrak h}_i)\) to \(\mathcal I_1({\mathfrak h}_j)\) such that
In particular, the following limit holds in \([0,\infty ]\):
This operator \({\mathfrak N}_{j,i}^{(\alpha )}\) is defined by
using the Banach–Steinhaus Theorem and the simple bound
We also define
Since any \(\pi \in {\mathcal P}(i,j)\) is a concatenation of \(\pi _0 \in {\mathcal P}^{V\setminus \{j\}}(i,j)\) and \(\pi _1,\ldots ,\pi _k\) in \({\mathcal P}^{V\setminus \{j\}}(j,j)\), and
we have
Because both sides define bounded operators as \(n\rightarrow \infty \), we have
Since \(\alpha \mapsto {\mathfrak P}_{j,j}^{(\alpha )}(\rho )\) is monotone increasing for \(\rho \ge 0\), the right-hand side is monotone increasing as well, and the second identity follows. \(\square \)
Proof of Equation (16) By definition, we have
Proof of Corollary 3.5
-
1.
Let \(i,j\in V\) and \(\rho \in \mathcal {S}({\mathfrak h}_i)\). By Proposition 3.3, we have \({\mathbb {P}}_{i,\rho }(t_j<\infty )= \mathrm {Tr}\, \rho \,{\mathfrak P}^*_{j,i}(\mathrm {Id}_{{\mathfrak h}_{j}})\) and, since \(\mathrm {Tr}\,\rho =1\), we have \({\mathbb {P}}_{i,\rho }(t_j<\infty )~=~1\) if and only if \(P_\rho {\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j}) P_\rho = P_\rho \), where \(P_\rho \) is the orthogonal projection on the support of \(\rho \). Write \({\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j})\) as \({\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j})=\left( \begin{array}{ll} \mathrm {Id}_{\mathrm {Ran}\,\rho } &{} A \\ A^* &{} B \end{array}\right) \) in the decomposition \({\mathfrak h}_i=\mathrm {Ran}\,\rho \oplus ({\mathrm {Ran}}\,\rho )^\perp \). Then the property \({\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j})\le \mathrm {Id}_{{\mathfrak h}_i}\) implies that \(\left( \begin{array}{ll} 0 &{} -A \\ -A^* &{} \mathrm {Id}_{{\mathrm {Ker}}\,\rho } - B \end{array}\right) \ge 0\), so that necessarily \(A=0\). In particular, if \(\rho \) is faithful, then \({\mathbb {P}}_{i,\rho }(t_j<\infty )=1\) if and only if \({\mathfrak P}_{j,i}^*(\mathrm {Id}_{{\mathfrak h}_j})=\mathrm {Id}_{{\mathfrak h}_i}\). In that case, \({\mathbb {P}}_{i,\rho '}(t_j<\infty )=1\) for any \(\rho '\) in \(\mathcal {S}({\mathfrak h}_i)\).
-
2.
Consequently, if this is the case for \(j=i\), then for any \(\rho '\) in \(\mathcal {S}({\mathfrak h}_i)\) one has \({\mathbb {E}}_{i,\rho '}(n_i)=\infty \), since by Proposition 3.3 we have
$$\begin{aligned} {\mathbb {E}}_{i,\rho '}(n_i)=\sum _{k\ge 1} \mathrm {Tr}\big (\rho '\, {\mathfrak P}_{i,i}^{*\, k}(\mathrm {Id}_{{\mathfrak h}_i})\big ). \end{aligned}$$ -
3.
If \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) with \(\rho \) faithful and \(\mathrm {dim}\,{\mathfrak h}_i<\infty \), then for any \(\alpha \in (0,1)\),
$$\begin{aligned} \mathrm {Tr}\big ({\mathfrak N}_{j,i}(\rho )\big )\ge \mathrm {Tr}\big (\rho \,{\mathfrak N}_{j,i}^{(\alpha )\, *}(\mathrm {Id}_{{\mathfrak h}_j})\big ) \ge \inf \, (\rho ) \times \Vert {\mathfrak N}_{j,i}^{(\alpha )\, *}(\mathrm {Id}_{{\mathfrak h}_i})\Vert , \end{aligned}$$so that \({\mathfrak N}_{j,i}^{(\alpha )\, *}(\mathrm {Id}_{{\mathfrak h}_j})\) is uniformly (in \(\alpha \)) bounded in norm. The monotone increasing function \(\alpha \mapsto {\mathfrak N}_{j,i}^{(\alpha )\, *}(\mathrm {Id}_{{\mathfrak h}_j})\) therefore has a limit and, by Proposition 3.3, \({\mathbb {E}}_{i,\rho '}(n_j)<\infty \) for any \(\rho '\).
-
4.
The construction of \({\mathfrak N}_{j,i}\) when \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) for any \(\rho \) is obtained by a Banach–Steinhaus argument.
\(\square \)
Proof of Proposition 3.7
Recall that \({\mathbb {P}}_{i,\rho }(t_i<\infty )=\Vert {\mathfrak P}_{i,i}(\rho )\Vert \). By Proposition 3.3, the map \({\mathfrak P}_{i,i}\) is bounded, and since \(\mathcal S({\mathfrak h}_i)\) is compact, the supremum \(p=\sup _{\rho \in \mathcal S({\mathfrak h}_i)} \mathrm {Tr}\big ({\mathfrak P}_{i,i}(\rho )\big )\) satisfies \(p<1\). A standard application of the strong Markov property for the chain \((x_n,\rho _n)_n\) shows that \({\mathbb {P}}_{i,\rho }(n_i=k)\le p^k\) and by a direct computation \({\mathbb {E}}_{i,\rho }(n_i) \le p(1-p)^{-2}\), which gives the result. \(\square \)
Proof of Proposition 3.9 and Corollary 3.10
We start with two simple lemmata: \(\square \)
Lemma 8.8
Assume that \(\mathfrak M\) is an irreducible open quantum walk and let i, j in V be such that \(\mathrm {dim}\,{\mathfrak h}_i<\infty \). Then
Proof of Lemma 8.8
For any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), there exists a unit vector \(\varphi \) in \({\mathfrak h}_i\) and \(\lambda > 0\) such that \(\rho \ge \lambda |\varphi \rangle \langle \varphi |\). By irreducibility, there exists a path \(\pi \) in \(\mathcal P(i,j)\) such that \(\Vert L_\pi \varphi \Vert ^2>0\), so that \({\mathbb {P}}_{i,\rho }(t_{j}<\infty )>0\). By continuity of \({\mathfrak P}_{j,i}\) and compactness of \(\mathcal S({\mathfrak h}_j)\), one has the result. \(\square \)
Lemma 8.9
Assume that \(\mathfrak M\) is an irreducible open quantum walk and let i, j be in V. If \(\mathrm {dim}\,{\mathfrak h}_j<\infty \) and \(\rho \in \mathcal S({\mathfrak h}_i)\) is such that \({\mathbb {E}}_{i,\rho }(n_j)=\infty \), then for any \(j' \in V\) one has \({\mathbb {E}}_{i,\rho }(n_{j'})=\infty \).
Proof of Lemma 8.9
By Lemma 8.8, one has \(\inf _{\rho '\in \mathcal S({\mathfrak h}_j)}{\mathbb {P}}_{j,\rho '}(t_{j'}<\infty )>0\) for any \(j'\in V\). Now, a standard markovianity argument shows that \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) implies \({\mathbb {E}}_{i,\rho }(n_{j'})=\infty \). \(\square \)
Remark 8.10
Here we used only a weaker version of irreducibility, namely the fact that for any k, l in V, any \(\varphi \) in \({\mathfrak h}_k\), there exists a path \(\pi \) in \({\mathcal P}(k,l)\) such that \(L_\pi \varphi \ne 0\).
Let us go back to the proof of Proposition 3.9 and Corollary 3.10. Define for j in V
It is immediate that \(D^n(j)\) is a vector space, and that \((L_{k,l}\otimes |k\rangle \langle l|) D^n(j)\subset D^n(j)\) for any k, l in V. In the language of [10], this means that \(\overline{D^n (j)}\) is an enclosure for \(\mathfrak M\). Moreover, the only possible enclosures for an irreducible \(\mathfrak M\) are \(\{0\}\) and \({\mathcal H}\). Therefore, either \({D^n(j)}=\{0\}\) or \(\overline{D^n(j)}={\mathcal H}\). Define for i in V \({\mathfrak d}^n _{j,i}=D^n(j)\cap {\mathfrak h}_i\) (with a slight abuse of notation). Then either for every i the subspace \({\mathfrak d}^n_{j,i}\) is dense in \({\mathfrak h}_i\) or for every i it is \(\{0\}\). Remark that by Lemma 8.7, \(\sum _{\pi \in {\mathcal P}(i,j)} \Vert L_\pi \varphi _i\Vert ^2 = {\mathbb {E}}_{i,|\varphi _i\rangle \langle \varphi _i|}(n_j)\). By linearity of \({\mathbb {E}}_{i,\rho }(n_j)\) in \(\rho \), if \({\mathfrak d}^n_{j,i}=\{0\}\) then \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), and if \({\mathfrak d}^n_{j,i}\) is dense then \({\mathbb {E}}_{i,\rho }(n_j)<\infty \) for any \(\rho \) with finite range in \({\mathfrak d}^n_{j,i}\). This concludes the proof of Proposition 3.9.
Now, if \(\mathrm {dim}\,{\mathfrak h}_i<\infty \), then in situation 2. of Proposition 3.9 one has \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) for any i in V and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). Now, Lemma 8.9 forbids the situation where for \(j\ne j'\) one has \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) and \({\mathbb {E}}_{i,\rho }(n_{j'})<\infty \) for every \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), and this proves Corollary 3.10.
Remark 8.11
This proof is essentially due to [20].
Proof of Proposition 3.12
By Definition 2.1 of irreducibility, there is no nontrivial invariant subspace of \({\mathfrak h}_j\) left invariant by all \(L_\pi \), \(\pi \in {\mathcal P}(j,j)\). Since any \(\pi \in {\mathcal P}(j,j)\) is a concatenation of paths in \({\mathcal P}^{V\setminus \{j\}}(j,j)\), there is also no nontrivial invariant subspace of \({\mathfrak h}_j\) left invariant by all \(L_\pi \), \(\pi \in {\mathcal P}^{V\setminus \{j\}}(j,j)\), and this means that \({\mathfrak P}_{j,j}\) is a completely positive irreducible map on \(\mathcal I_1({\mathfrak h}_j)\). In addition, we know from the Russo–Dye Theorem that \(\Vert {\mathfrak P}_{j,j}\Vert =\Vert {\mathfrak P}^*_{j,j}(\mathrm {Id})\Vert \le 1\), so that the eigenvalue \(\lambda \) of \({\mathfrak P}_{j,j}\) of largest modulus satisfies \(|\lambda |\le 1\). By the Perron–Frobenius Theorem for completely positive maps acting on the set of trace-class operators of a finite-dimensional space (see Theorem 3.1 and Remark 3.1 in [35], which are essentially proven in [19]), there exists a faithful state \(\rho _{\mathrm {f}}\) on \({\mathfrak h}_j\) such that \({\mathfrak P}_{j,j}(\rho _{\mathrm {f}})=|\lambda |\rho _{\mathrm {f}}\). If \(|\lambda |<1\), then by Proposition 3.3 one has \({\mathbb {E}}_{j,\rho _{\mathrm {f}}}(n_j)<\infty \). However, by Proposition 3.9, the assumption \({\mathbb {E}}_{i,\rho }(n_j)=\infty \) implies \({\mathbb {E}}_{j,\rho _{\mathrm {f}}}(n_j)=\infty \), a contradiction. Therefore \(|\lambda |=1\), \(\rho _{\mathrm {f}}\) is a faithful invariant state and \(\mathrm {Tr}\, {\mathfrak P}_{j,j}(\rho _{\mathrm {f}})=\mathrm {Tr}\,\rho _{\mathrm {f}}=1\). By Corollary 3.5, we have that \({\mathbb {P}}_{j,\rho }(t_j<\infty )=1\) for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). \(\square \)
Appendix 3: Proofs for Section 4
Proof of Proposition 4.1
The expansion of \({\mathbb {E}}_{i,\rho }(t_j)\) and the construction of \({\mathfrak T}_{j,i}\) are obtained by now standard Banach–Steinhaus arguments. \(\square \)
Proof of Proposition 4.4
Proposition 4.4 is proved like Proposition 3.9, by introducing
and remarking that \(D^t(j)\) is an enclosure. \(\square \)
Proof of Theorem 4.3
Define \(\mathfrak d^t_{j,i}=D^t(j)\cap {\mathfrak h}_i\). Remark that in the case of a semifinite OQW, by Proposition 4.4, for every j in V either \(\mathfrak d^t_{j,i}=\{0\}\) for every i; or \(\mathfrak d^t_{j,i}={\mathfrak h}_i\) for every i. If for some j one has \(\mathfrak d^t_{j,i}={\mathfrak h}_i\) for every i, then we have in particular \({\mathbb {E}}_{j,\rho }(t_{j})<\infty \) for any \(\rho \) in \(\mathcal S({\mathfrak h}_j)\); for any \(j'\), applying Lemma 8.8 again one has \(\inf _{\rho \in \mathcal S({\mathfrak h}_j)}{\mathbb {P}}_{j,\rho }(t_{j'}<\infty )>0\). By a markovianity argument, one obtains that \({\mathbb {E}}_{j,\rho '}(t_{j'})<\infty \) for any \(j'\) in V and \(\rho '\in \mathcal S({\mathfrak h}_j)\). \(\square \)
Proof of Theorem 4.5
Let \({\tau ^{\mathrm {inv}}}=\sum _{i\in V} {\tau ^{\mathrm {inv}}}(i)\otimes |i\rangle \langle i|\) be an invariant state for \(\mathfrak M\). Then by the infinite-dimensional extension of the Kümmerer–Maassen ergodic Theorem (see [31]), one has, for any \(i\in V\) and \(\rho \in \mathcal S({\mathfrak h}_i)\), the \({\mathbb {P}}_{i,\rho }\)-almost-sure convergence
where convergence is in the weak-* sense. This implies in particular that
satisfies, for any \(j\in V\), \({n_j^{(k)}}/k\underset{k\rightarrow \infty }{\rightarrow }\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)\), \({\mathbb {P}}_{i,\rho }\)-almost-surely. Therefore, \(t_j^{(k)}<\infty \) but \(t_j^{(k)}\underset{k\rightarrow \infty }{\rightarrow }\infty \). Considering \(m=t_j^{(k)}\), we have \({n_j^{(m)}}/{m}={k}/{t_j^{(k)}}\) and therefore, \({\mathbb {P}}_{i,\rho }\)-almost-surely, \(t_j^{(k)}/k \rightarrow \big (\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)\big )^{-1}\) .
Observe now that, as shown in Example 5.3, our assumptions imply in particular that \({\mathbb {P}}_{j,\rho }(t_j<\infty )=1\) for any \(\rho \) in \(\mathcal {S}({\mathfrak h}_j)\), so that \({\mathfrak P}_{j,j}\) is a completely positive, trace-preserving map, with Kraus decomposition
In addition, we have \({\mathbb {P}}_{j,\rho }\)-almost-surely from (43)
(the convergence needs not be specified, as \({\mathfrak h}_j\) is finite-dimensional), but the Kümmerer–Maassen ergodic Theorem applied to \({\mathfrak P}_{j,j}\) shows that \(\frac{1}{n_j^{(m)}} \sum _{k=1}^{n_j^{(m)}} \rho _{t_{j}^{(k)}}\) converges almost-surely to an invariant of \({\mathfrak P}_{j,j}\). Therefore, \(\frac{{\tau ^{\mathrm {inv}}}(j)}{\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)}\) is an invariant state for \({\mathfrak P}_{j,j}\) and \({\mathbb {P}}_{j,\rho }\)-almost-surely,
In addition, since \({{\tau ^{\mathrm {inv}}}(j)}\) is faithful on \({\mathfrak h}_j\), one has by necessity that \({\mathfrak P}_{j,j}\) is irreducible: if there existed an invariant subspace for all \(L_\pi \), \(\pi \in \mathcal P^{V\setminus \{j\}}\), then there would exist an invariant state \(\rho '_j\) for \({\mathfrak P}_{j,j}\) with support on this invariant subspace, and considering initial data \((j,\rho _j')\) in (44) above would show that \({\tau ^{\mathrm {inv}}}(j)\) has support no larger than the support of \(\rho '_j\), a contradiction.
We now define a new probability space by \(\Omega ^{(j)}= \big (\mathcal P^{V\setminus \{j\}}(j,j)\big )^{\otimes \mathbb {N}}\), and let
The trace-preserving property of \({\mathfrak P}_{j,j}\) shows that this defines a consistent family and by the Daniell–Kolmogorov extension Theorem this defines a probability \({\mathbb {P}}^{(j)}\) on \(\Omega ^{(j)}\). In addition, the invariance of \(\frac{{\tau ^{\mathrm {inv}}}(j)}{\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)}\) by \({\mathfrak P}_{j,j}\) implies
which shows that \({\mathbb {P}}^{(j)}\) is invariant by the left shift
Now, the Perron–Frobenius Theorem implies that 1 is a simple eigenvalue for \({\mathfrak P}_{j,j}\). This immediately shows that for any two cylinder sets E and F,
so that \((\Omega ^{(j)},{\mathbb {P}}^{(j)})\) is ergodic for \(\Theta \). Now, if we consider the map \(\ell ^{(k)}\) defined by
then this map is an additive functional, i.e. satisfies \(\ell ^{(k+k')}=\ell ^{(k)}+\ell ^{(k')}\circ \Theta ^k\). By Birkhoff’s ergodic Theorem one has \({\mathbb {P}}^{(j)}\)-almost-sure convergence of \({\ell ^{(k)}}/k\) to the expectation of \(\ell ^{(1)}\) for \({\mathbb {P}}^{(j)}\). It is immediate, however, that the distribution of \(\ell ^{(k)}\) under \({\mathbb {P}}^{(j)}\) is the same as the distribution of \(t_j^{(k)}\) under \({\mathbb {P}}_{j,\frac{{\tau ^{\mathrm {inv}}}(j)}{\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)}}\). We therefore have
where convergence is almost-sure and in the \(\mathrm L^1\) sense, with respect to \({\mathbb {P}}_{j,\frac{{\tau ^{\mathrm {inv}}}(j)}{\mathrm {Tr}\,{\tau ^{\mathrm {inv}}}(j)}}\). The first part of the proof shows that
and this concludes the proof. \(\square \)
Appendix 4: Proofs for Section 6
Proof of Proposition 6.1
Consider \(A=\sum _{i\in V} A_i\otimes |i\rangle \langle i|\) such that for any i in V, \(\sum _{j\in V}\Vert {\mathfrak N}_{j,i}^*(A_j)\Vert <\infty \). Then (25) defines an operator Z. Proving that Z satisfies (24) is then a straightforward computation. By linearity it is enough to assume that \(A=A_k\otimes |k\rangle \langle k|\). We then have
Since the set of paths obtained by concatenating one step from a given i to a variable j, then some \(\pi \) from j to k, is exactly the set of paths from i to k of length \(\ge 2\), and (i, k) is the only path from i to k of length 1, we obtain \(\mathfrak M^*(Z)=Z-A_k\otimes |k\rangle \langle k|\), so that \((\mathrm {Id}-\mathfrak M^*)(Z)=A\). If \(Z'\) is another solution of (24), then \(Y=Z'-Z\) satisfies \(\mathfrak M^*(Y)=Y\) and by the Perron–Frobenius Theorem of [23] applied to the irreducible map \(\mathfrak M^*\), we have \(Y\in \mathbb {C}\mathrm {Id}_{\mathcal H}\). \(\square \)
Proof of Proposition 6.3
It is now a routine argument to construct \({\mathfrak P}_{i,j}^D\) using the Banach–Steinhaus Theorem, as
One then has by definition \({\mathbb {P}}_{i,\rho }(t_j\le t_{\partial \! D}<\infty )=\mathrm {Tr}\, {\mathfrak P}^D_{j,i}(\rho )\), and the second identity follows from \({\mathbb {P}}_{i,\rho }(t_{\partial \! D}<\infty )=\sum _{j\in {\partial \! D}}{\mathbb {P}}_{i,\rho }(t_j\le t_{\partial \! D}<\infty )\). Relations (28) and (29) are obtained as Equation (16). \(\square \)
Proof of Proposition 6.5
We define
We will show independently that \(p>0\) and that \(p\in \{0,1\}\), therefore proving Proposition 6.5.
To prove that \(p>0\), we use a simple adaptation of Lemma 8.8. Fix some \(\rho \) in \(\mathcal S (\mathfrak h_i)\); there exist a unit vector \(\varphi \) in \(\mathfrak h_i\) and \(\lambda >0\) such that \(\rho \ge \lambda |\varphi \rangle \langle \varphi |\). By irreducibility, for any j in \({\partial \! D}\) there exists a path \(\pi \) in \({\mathcal P}(i,j)\) such that \(L_\pi \,\varphi \ne 0\). There exists \(j'\) in \({\partial \! D}\) (the first point of \({\partial \! D}\) visited by the trajectory \(\pi \)) and a subpath \(\pi '\) of \(\pi \) belonging to \({\mathcal P}^{D}(i,j')\), with necessarily \(L_{\pi '} \,\varphi \ne 0\). We have shown \(\mathrm {Tr}\,{\mathfrak P}^D_{i}(\rho )>0\) and, \({\mathfrak P}^D_{i}\) being continuous, we have by a compactness argument that \(\inf _{\rho \in \mathcal S({\mathfrak h}_i)}\mathrm {Tr}\,{\mathfrak P}^D_{i}(\rho )>0\), and therefore \(p>0\) as D is finite.
We next prove that \(p \in \{0,1\}\). By the strong Markov property, for any n one has
and taking \(n\rightarrow \infty \) leads to \((1-p)\le (1-p)^2\), so that \(p\in \{0,1\}\). This concludes our proof. \(\square \)
Proof of Lemma 6.6
Let j in V with \(\mathrm {dim}\,{\mathfrak h}_j<\infty \). By irreducibility, there exists a path \(\pi \) in \(\mathcal P^D(j,k)\) for some \(k\in {\partial \! D}\) such that \(\mathrm {Tr}L_\pi \rho L_\pi ^*\ne 0\). There exists \(k'\) in \({\partial \! D}\) and a subpath \(\pi '\) of \(\pi \) which belongs to \(\mathcal P^{D\setminus \{j\}}(j,k')\) such that \(\mathrm {Tr}L_{\pi '} \rho L_{\pi '}^*\ne 0\), which implies that \({\mathbb {P}}_{j,\rho }(t_j\le t_{\partial \! D})~<~1\). In particular, \(\mathrm {Tr}\,{\mathfrak P}^D_{j,j}(\rho )<1\) for any \(\rho \) in \(\mathcal S({\mathfrak h}_j)\), so that \(\Vert {\mathfrak P}^D_{j,j}\Vert <1\). The same discussion that allowed us to construct \({\mathfrak N}_{j,i}\) shows that \({\mathfrak N}^D_{j,i}\) is well-defined by \({\mathfrak N}^D_{j,i}=(\mathrm {Id}- {\mathfrak P}^D_{j,j})^{-1}\circ {\mathfrak P}^D_{j,i}\) and satisfies relations (30) and (31). \(\square \)
Proof of Proposition 6.8
By Lemma 6.6, all operators \({\mathfrak N}^D_{j,i}\) and therefore the operator Z, are well-defined. Obviously \(Z_j=B_j\) for \(j\in {\partial \! D}\); the proof that \(\big ((\mathrm {Id}-\mathfrak M^*)(Y)\big )_i=A_i\) for \(i\in D\) is similar to that for Proposition 6.1. Now consider two solutions Z and \(Z'\); then \(Y=Z-Z'\) satisfies \(Y_j=0\) for \(j\in {\partial \! D}\) and \(\big ((\mathrm {Id}-\mathfrak M^*)(Y)\big )_i=0\) for \(i\in D\). As in Lemma 2.5 we can prove that, if \(m_n=\big (\mathrm {Tr}(\rho _n Y_{x_n})\big )_n\), then \(m^D_n=m_{\inf (n,t_{\partial \! D})}\) is a \({\mathbb {P}}_{i,\rho }\)-martingale for any i in D and \(\rho \) in \(\mathcal S({\mathfrak h}_i)\). The optional sampling Theorem applied to the bounded martingale \(\mathrm {Tr}(\rho _n Y_{x_n})\) and the stopping time \(t_{\partial \! D}\) implies that
Since this is true for any \(\rho \) in \(\mathcal S({\mathfrak h}_i)\), we obtain that \(Y_i=0\), for any \(i\in D\). \(\square \)
Appendix 5: Proof for Section 8
Proof of Lemma 8.3
Since \(\Vert \mathfrak M^*\Vert =1\), the quantum detailed balance condition implies that the spectrum of \(\mathfrak M^*\) is contained in \([-1,+1]\), so that \(I-\mathfrak M^*\) is a positive operator and \(\mathcal {E}(X)\ge 0\) for all \(X\in \mathcal {B}(\mathcal {H})\). In addition, \(\mathcal {E}(X)=0\) if and only if \(\mathfrak M^*(X)=X\). If \(\mathfrak M\) is irreducible, then by the Perron–Frobenius Theorem for operators on a C*-algebra (see [23]) applied to the irreducible map \(\mathfrak M^*\), the identity \(\mathfrak M^*(X)=X\) is equivalent with \(X\in \mathbb {C}\mathrm {Id}_{\mathcal H}\). \(\square \)
Proof of Theorem 8.5
Let us write \(Z=B+X+X'\) with \(X\in \mathcal B(\mathcal H_D)\) and \(X'\in \mathcal B(\mathcal H_{V\setminus (D\cup {\partial \! D})})\). By definition of \({\partial \! D}\), one has \((\mathrm {Id}-\mathfrak M^*)(X')\in \mathcal B(\mathcal H_{V\setminus D})\). Denoting \(C=(\mathrm {Id}-\mathfrak M^*)(B)\) we have that Z is a solution of (26) if and only if \(\big ((\mathrm {Id}-\mathfrak M^*)(X)\big )_k=(A-C)_k\) for \(k\in D\), or equivalently if
By Lemma 8.3, \({\mathcal E}(X,X)\) is non-negative and vanishes only if \(X\in \mathbb {C}\mathrm {Id}_{\mathcal H}\). However, since \({\partial \! D}\ne \emptyset \), \(\mathrm {Id}_{\mathcal H}\not \in \mathcal B(\mathcal H_D)\) and one has \(\mathcal E(X,X)>0\) for any \(X\in \mathcal B(\mathcal H_D)\). Consequently, by a compactness argument, there exists \(\lambda >0\) such that \(\mathcal E(X,X)\ge \lambda \Vert X\Vert _\diamond ^2\) for \(X\in \mathcal B(\mathcal H_D)\). One can then apply the Lax–Milgram Theorem (see [8]): there exists a unique \(X_0\) satisfying (45), which in addition is the minimizer of
The solutions of Equation (26) are therefore the operators of the form
for \(X'\in \mathcal B(\mathcal H_{V\setminus (D\cup {\partial \! D})})\). \(\square \)
Proof of Proposition 8.6
The proof is simply a matter of computation. For doubly stochastic OQW, \(L_{ij}=L^*_{ji}\), the invariant state \(\tau _\diamond \) is the identity and the Dirichlet form reads
On the other hand we have
The two formulas coincide since \(\sum _{j\in V} L_{ij}L_{ji}=\mathrm {Id}\) for doubly stochastic OQW. \(\square \)
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Bardet, I., Bernard, D. & Pautrat, Y. Passage Times, Exit Times and Dirichlet Problems for Open Quantum Walks. J Stat Phys 167, 173–204 (2017). https://doi.org/10.1007/s10955-017-1749-3
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DOI: https://doi.org/10.1007/s10955-017-1749-3