Entropic witness for quantum memory in open system dynamics
Charlotte B\"acker, Konstantin Beyer, Walter T. Strunz

TL;DR
This paper introduces a computationally simple entropic criterion to detect quantum memory in open quantum systems, applicable to both finite-dimensional and continuous-variable systems, facilitating analysis of non-Markovian dynamics.
Contribution
The authors propose a new von Neumann entropy-based witness for quantum memory that is easily computable for systems of any dimension, improving over previous methods.
Findings
Effective detection of quantum memory in finite-dimensional qudit systems.
Applicability of the criterion to continuous-variable quantum systems.
Analysis of non-Markovian Gaussian dynamics of a damped harmonic oscillator.
Abstract
The dynamics of open quantum system are often modeled by non-Markovian processes that account for memory effects arising from interactions with the environment. It is well-known that the memory provided by the environment can be classical or quantum in nature. Remarkably, the quantumness of the memory can be witnessed locally by measurements on the open system alone, without requiring access to the environment. However, existing witnesses are computationally challenging for systems beyond qubits. In this work, we present a tractable criterion for quantum memory based on the von Neumann entropy, which is easily computable for systems of any dimension. Using this witness, we investigate the nature of memory in a class of physically motivated finite-dimensional qudit dynamics. Moreover, we demonstrate that this criterion is also suitable for detecting quantum memory in continuous-variable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum optics and atomic interactions · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
