1Centre for Engineered Quantum Systems, School of Mathematics and Physics, University of Queensland, QLD 4072 Australia
2University of Technology Sydney, Centre for Quantum Software and Information, Ultimo NSW 2007, Australia
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Abstract
We present a method to detect quantum memory in a non-Markovian process. We call a process Markovian when the environment does not provide a memory that retains correlations across different system-environment interactions. We define two types of non-Markovian processes, depending on the required memory being classical or quantum. We formalise this distinction using the process matrix formalism, through which a process is represented as a multipartite state. Within this formalism, a test for entanglement in a state can be mapped to a test for quantum memory in the corresponding process. This allows us to apply separability criteria and entanglement witnesses to the detection of quantum memory. We demonstrate the method in a simple model where both system and environment are single interacting qubits and map the parameters that lead to quantum memory. As with entanglement witnesses, our method of witnessing quantum memory provides a versatile experimental tool for open quantum systems.
Featured image: Representation of a process with a quantum memory, where the environment is a quantum system that interacts in a coherent way with the system, and a classical memory where there is carrier of classical information that interacts with the system.
Popular summary
In this work, we provide a first rigorous definition of classical memory in a non-Markovian process and we present a method that detects that a process is non-Markovian with quantum memory. We do this by mapping our problem to the well known problem of entanglement. We apply our method to an example of a non-Markovian process and present our results of detecting a quantum memory.
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Cited by
[1] Simon Milz, M. S. Kim, Felix A. Pollock, and Kavan Modi, “Completely Positive Divisibility Does Not Mean Markovianity”, Physical Review Letters 123 4, 040401 (2019).
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The above citations are from SAO/NASA ADS (last updated successfully 2021-04-26 12:33:16). The list may be incomplete as not all publishers provide suitable and complete citation data.
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