期刊
PHYSICAL REVIEW APPLIED
卷 14, 期 5, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevApplied.14.054005
关键词
-
资金
- Austrian Science Fund (FWF) [Y879-N27, P31339-N27]
- FQXi [FQXi-IAF19-03-S2]
- Austrian Science Fund (FWF) [P31339] Funding Source: Austrian Science Fund (FWF)
Practical implementations of quantum technologies require preparation of states with a high degree of purity-or, in thermodynamic terms, very low temperatures. Given finite resources, the third law of thermodynamics prohibits perfect cooling; nonetheless, attainable upper bounds for the asymptotic ground-state population of a system repeatedly interacting with quantum thermal machines have been derived. These bounds apply within a memoryless (Markovian) setting, in which each refrigeration step proceeds independently of those previous. Here, we expand this framework to study the effects of memory on quantum cooling. By introducing a memory mechanism through a generalized collision model that permits a Markovian embedding, we derive achievable bounds that provide an exponential advantage over the memoryless case. For qubits, our bound coincides with that of heat-bath algorithmic cooling, which our framework generalizes to arbitrary dimensions. We lastly describe the adaptive stepwise optimal protocol that outperforms all standard procedures.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据