aiqbench analysis
This paper is theoretical quantum thermodynamics: it argues that memory effects in open quantum systems (non-Markovianity) can improve a quantum battery's capacity, and it proves the advantage vanishes for Markovian dynamics. For readers, the useful takeaway is a formal framing of memory as an operational resource, with results in a process-tensor setting and a random-telegraph dephasing example. It is early-stage foundational work, with no experimental demonstration or near-term hardware implication.
Harnessing Non-Markovian Memory for Quantum-Battery Capacity
arXiv:2610.38527v1 Announce Type: new 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.
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.
arXiv:2610.38527 [quant-ph]
(or arXiv:2610.38527v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.38527 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 205 words