Open Quantum Random Walks and Quantum Markov chains on Trees I: Phase transitions

TL;DR

This paper introduces a novel approach to studying phase transitions in open quantum random walks by constructing quantum Markov chains on trees, revealing new phenomena and calculating mean entropies.

Contribution

It presents a new construction of quantum Markov chains on trees linked to open quantum random walks, enabling the analysis of phase transitions in this context.

Findings

Detection of phase transition phenomena in quantum Markov chains on trees

Construction of QMCs associated with OQRW extending previous models

Calculation of mean entropies of the constructed QMCs

Abstract

In the present paper, we construct QMC (Quantum Markov Chains) associated with Open Quantum Random Walks such that the transition operator of the chain is defined by OQRW and the restriction of QMC to the commutative subalgebra coincides with the distribution $P_\rho$ of OQRW. However, we are going to look at the probability distribution as a Markov field over the Cayley tree. Such kind of consideration allows us to investigated phase transition phenomena associated for OQRW within QMC scheme. Furthermore, we first propose a new construction of QMC on trees, which is an extension of QMC considered in Ref. [10]. Using such a construction, we are able to construct QMCs on tress associated with OQRW. Our investigation leads to the detection of the phase transition phenomena within the proposed scheme. This kind of phenomena appears first time in this direction. Moreover, mean entropies of QMCs are calculated.