Certifying quantum enhancements in thermal machines beyond the Thermodynamic Uncertainty Relation

IF 5.1 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Quantum Pub Date : 2025-10-07 DOI:10.22331/q-2025-10-07-1878
José A. Almanza-Marrero, Gonzalo Manzano
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Abstract

Quantum coherence has been shown to impact the operational capabilities of quantum systems performing thermodynamic tasks in a significant way, and yet the possibility and conditions for genuine coherence-enhanced thermodynamic operation remain unclear. Introducing a comparison with classical machines using the same set of thermodynamic resources, we show that for steady-state quantum thermal machines – both autonomous and externally driven – that interact weakly with thermal reservoirs and work sources, the presence of coherence induced by perturbations in the machine Hamiltonian guarantees a genuine thermodynamic advantage under mild conditions. This advantage applies to both cases where the induced coherence is between levels with different energies or between degenerate levels. On the other hand, we show that engines subjected to noise-induced coherence can be outperformed by classical stochastic engines using exactly the same set of (incoherent) resources. We illustrate our results with three prototypical models of heat engines and refrigerators: the three-level amplifier, the three-qubit autonomous refrigerator, and a noise-induced-coherence machine.
证明热机中超越热力学不确定关系的量子增强
量子相干性已被证明对量子系统执行热力学任务的操作能力有重大影响,但真正的相干性增强热力学操作的可能性和条件仍不清楚。通过与使用相同热力学资源集的经典机器进行比较,我们表明,对于与热储和功源相互作用弱的稳态量子热机(包括自主的和外部驱动的),由机器哈密顿量中的扰动引起的相干性的存在保证了在温和条件下真正的热力学优势。这一优势适用于两种情况,即诱导相干在具有不同能量的能级之间或在简并能级之间。另一方面,我们表明,使用完全相同的(非相干)资源集的经典随机引擎可以优于受噪声相干影响的引擎。我们用三个热机和冰箱的原型模型来说明我们的结果:三电平放大器,三量子位自治冰箱和噪声诱导相干机。
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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