Universal Work Statistics in Long-Range Interacting Quantum Systems.

IF 9 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Physical review letters Pub Date : 2025-01-24 DOI:10.1103/PhysRevLett.134.030402
Andrea Solfanelli, Nicolò Defenu
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Abstract

We determine the conditions under which the presence of long-range interactions reduce the energy losses due to defect generation during nonadiabatic evolution, crucial for enhancing the power to efficiency ratio of quantum thermal devices. In order to do so, we investigate the response of long-range systems to diverse external drivings, emphasizing their robustness against dynamic excitation in comparison to generic local systems. This phenomenon is demonstrated through the study of the quantum work statistics, revealing insights into energy transfer efficiency and dynamical quantum criticality. Our results demonstrate the benefits of including a long-range interacting medium for quantum thermodynamics application, highlighting the potential to optimize finite-time quantum thermal cycles. Thanks to the effective dimension approach our findings can be drawn in full generality and, then, specified to different experimentally relevant scenarios.

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远程相互作用量子系统中的普遍功统计。
我们确定了远程相互作用的存在降低非绝热演化过程中由于缺陷产生而导致的能量损失的条件,这对于提高量子热器件的功率效率比至关重要。为了做到这一点,我们研究了远程系统对各种外部驱动的响应,与一般的局部系统相比,强调了它们对动态激励的鲁棒性。这一现象通过量子功统计的研究得到证明,揭示了能量传递效率和动态量子临界的见解。我们的研究结果证明了将远程相互作用介质纳入量子热力学应用的好处,突出了优化有限时间量子热循环的潜力。由于有效维度方法,我们的发现可以完全概括,然后指定到不同的实验相关场景。
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来源期刊
Physical review letters
Physical review letters 物理-物理:综合
CiteScore
16.50
自引率
7.00%
发文量
2673
审稿时长
2.2 months
期刊介绍: Physical review letters(PRL)covers the full range of applied, fundamental, and interdisciplinary physics research topics: General physics, including statistical and quantum mechanics and quantum information Gravitation, astrophysics, and cosmology Elementary particles and fields Nuclear physics Atomic, molecular, and optical physics Nonlinear dynamics, fluid dynamics, and classical optics Plasma and beam physics Condensed matter and materials physics Polymers, soft matter, biological, climate and interdisciplinary physics, including networks
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