AI 中文总结
该研究针对量子信息引擎，建立机制分辨的功统计与时间关联理论，揭示相干性转变干涉的映射规律，发现反馈记忆可降低记录重置成本，关联相干功统计与信息热力学。
AI 中文摘要
测量与反馈共同在量子信息引擎中制备相干性并选择有限时间动力学。作为一项配套实验实现的补充，我们建立了机制分辨的功统计与时间关联理论。条件功可分为布居转移和相位敏感的相干性转变干涉项。对称全计数统计将该干涉映射到功拟概率中的一对等量异号半量子，其进入奇数矩，而偶数矩由端点混合固定。结果分辨的倾斜核随后通过关联测量记录传播这些统计，产生有限周期和固定时间的涨落修正。该相同记忆将可逆记录重置成本从单符号熵降至熵率。我们的结果将相干功统计、反馈记忆与信息热力学联系起来。
英文摘要
Measurement and feedback jointly prepare coherence and select finite-time dynamics in quantum information engines. Complementing a companion experimental realization, we develop a mechanism-resolved theory of the resulting work statistics and temporal correlations. The con?ditional work separates into population transfer and a phase-sensitive coherence-transition inter?ference term. Symmetric full counting statistics maps this interference to an equal-and-opposite half-quantum pair in the work quasiprobability, entering odd moments while leaving even moments fixed by endpoint mixing. An outcome-resolved tilted kernel then propagates these statistics through the correlated measurement record, yielding finite-cycle and fixed-time fluctuation corrections. The same memory reduces the reversible record-reset cost from the one-symbol entropy to the entropy rate. Our results link coherent work statistics, feedback memory, and information thermodynamics
