Quantum Stochastic Walk models for quantum state discrimination

• Published in: Physics letters. A Vol. 384; no. 9; p. 126195
• Main Authors: Dalla Pozza, Nicola, Caruso, Filippo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 30.03.2020
• Subjects: Decoherence; Quantum network; Quantum state discrimination; Quantum Stochastic Walk; Quantum network; Decoherence; Quantum Stochastic Walk; Quantum state discrimination
• ISSN: 0375-9601; 1873-2429
• DOI: 10.1016/j.physleta.2019.126195

Quantum Stochastic Walks (QSW) allow for a generalization of both quantum and classical random walks by describing the dynamic evolution of an open quantum system on a network, with nodes corresponding to quantum states of a fixed basis. We consider the problem of quantum state discrimination on such a system, and we solve it by optimizing the network topology weights. Finally, we test it on different quantum network topologies and compare it with optimal theoretical bounds. •The problem of quantum state discrimination has been formulated on an open quantum system described by a network.•Existing models to define Quantum Stochastic Walks from a network have been compared in the discrimination task.•An additional new scheme to define a Quantum Stochastic Walks is introduced.•Numerical optimization of the network is performed in order to maximize the probability of correct decision.•The new scheme gives higher probability of correct decision.