Harnessing Non-Markovian Memory for Quantum-Battery Capacity
Abstract
Non-Markovianity is commonly characterized through information-theoretic signatures of memory. Here we take a thermodynamic perspective and ask whether such memory can be operationally harnessed to enhance quantum-battery capacity. Within the process-tensor framework, we compare memoryless and memory-enhanced strategies and define their performance gap as the memory-assisted capacity advantage of a multitime process. We prove that this advantage vanishes for Markovian process tensors and is bounded by a trace-distance measure of process non-Markovianity. In a complementary continuous-time setting, we show using random telegraph dephasing that memory accumulated during the evolution can enhance capacity retention relative to a matched Markovian reference under the same control class. These results identify non-Markovian memory as an operational resource for quantum-battery capacity.
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BibTeX
@misc{jiang2026harnessing,
title = {{Harnessing Non-Markovian Memory for Quantum-Battery Capacity}},
author = {Jun-Li Jiang and Xin-Zhu Liu and Xiu-Yong Ding and Xue Yang and Ming-Xing Luo},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.38527},
eprint = {2610.38527},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.38527},
}
RIS
TY - UNPB
TI - Harnessing Non-Markovian Memory for Quantum-Battery Capacity
AU - Jun-Li Jiang
AU - Xin-Zhu Liu
AU - Xiu-Yong Ding
AU - Xue Yang
AU - Ming-Xing Luo
PY - 2026
DA - 2026/10/28
PB - arXiv
DO - 10.48550/arxiv.2610.38527
UR - https://arxiv.org/abs/2610.38527
AB - Non-Markovianity is commonly characterized through information-theoretic signatures of memory. Here we take a thermodynamic perspective and ask whether such memory can be operationally harnessed to enhance quantum-battery capacity. Within the process-tensor framework, we compare memoryless and memory-enhanced strategies and define their performance gap as the memory-assisted capacity advantage of a multitime process. We prove that this advantage vanishes for Markovian process tensors and is bounded by a trace-distance measure of process non-Markovianity. In a complementary continuous-time setting, we show using random telegraph dephasing that memory accumulated during the evolution can enhance capacity retention relative to a matched Markovian reference under the same control class. These results identify non-Markovian memory as an operational resource for quantum-battery capacity.
ER -