Physical Origins of Memory Effects in a Non-Markovian Quantum Evolution

We quantitatively investigate the physical origins of the non-Markovianity measure proposed in our previous work, which can be directly interpreted as memory effects, i.e., the dependence of a quantum system's future evolution on its history. Using the properties of the trace norm and the trace distance, we find that the strength of memory effects in an evolution is upper (lower) bounded by the sum (difference) of two quantities. One originates from (bounded by) the change of environment state caused by the system, the other from (bounded by) the correlations between the system and the environment. The simulation results for the Jaynes-Cummings model show that the two origins may contribute to the memory effects in different manners, depending on the initial states of the environment and the system.

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Publication Details

Journal
Entropy
Published
2025-11-27
DOI
https://doi.org/10.3390/e27121207
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Physical Origins of Memory Effects in a Non-Markovian Quantum Evolution

Y. L. Zhou, S. C. Hou, Xuexi Yi, X. Y. Zhang
Entropy
stochastic dynamics and bifurcation
article

Physical Origins of Memory Effects in a Non-Markovian Quantum Evolution

Y. L. Zhou, S. C. Hou, Xuexi Yi, X. Y. Zhang
article en

Abstract

We quantitatively investigate the physical origins of the non-Markovianity measure proposed in our previous work, which can be directly interpreted as memory effects, i.e., the dependence of a quantum system's future evolution on its history. Using the properties of the trace norm and the trace distance, we find that the strength of memory effects in an evolution is upper (lower) bounded by the sum (difference) of two quantities. One originates from (bounded by) the change of environment state caused by the system, the other from (bounded by) the correlations between the system and the environment. The simulation results for the Jaynes-Cummings model show that the two origins may contribute to the memory effects in different manners, depending on the initial states of the environment and the system.

EntropyVol. 27(12)
Northeast Normal University (CN), Dalian Maritime University (CN)
Openalex Percentile: Top 70%
stochastic dynamics and bifurcation
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