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量子内存压缩的热效率

Thermal Efficiency of Quantum Memory Compression.

作者信息

Loomis Samuel P, Crutchfield James P

机构信息

Complexity Sciences Center and Physics Department, University of California at Davis, One Shields Avenue, Davis, California 95616, USA.

出版信息

Phys Rev Lett. 2020 Jul 10;125(2):020601. doi: 10.1103/PhysRevLett.125.020601.

Abstract

Quantum coherence allows for reduced-memory simulators of classical processes. Using recent results in single-shot quantum thermodynamics, we derive a minimal work cost rate for quantum simulators that is quasistatically attainable in the limit of asymptotically infinite parallel simulation. Comparing this cost with the classical regime reveals that quantizing classical simulators not only results in memory compression but also in reduced dissipation. We explore this advantage across a suite of representative examples.

摘要

量子相干性使得经典过程的低内存模拟器成为可能。利用单 shot 量子热力学的最新成果,我们推导出了量子模拟器的最小工作成本率,该成本率在渐近无限并行模拟的极限情况下可以准静态地实现。将此成本与经典情况进行比较表明,对经典模拟器进行量子化不仅会导致内存压缩,还会减少耗散。我们通过一系列具有代表性的例子来探讨这一优势。

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