Thermalization of finite complexity and its application to heat-bath algorithmic cooling

We introduce a class of thermal operations based on the collision model, where the system sequentially interacts with uncorrelated bath molecules via energy-preserving unitaries. To ensure finite complexity, each molecule is constrained to be no larger than the system. We identify a necessary condition for cooling below the bath temperature via a single collision: The system must initially lack a well-defined effective temperature, even a negative one. By constructing an iterative protocol, we demonstrate that sub-bath cooling is achievable without a machine under these restricted thermal operations. Moreover, introducing a qubit machine further enhances both the cooling limit and energy efficiency. These findings contribute to the broader study of cooling with finite resources.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-10-14
DOI
https://doi.org/10.1103/r3jn-1z54
Citations
1
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.63

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article

Thermalization of finite complexity and its application to heat-bath algorithmic cooling

Valerio Scarani, Xueyuan Hu
1 citations
Physical review. A/Physical review, A
Advanced Optimization Algorithms Research
2.63
article

Thermalization of finite complexity and its application to heat-bath algorithmic cooling

Valerio Scarani, Xueyuan Hu
article en
1 citations

Abstract

We introduce a class of thermal operations based on the collision model, where the system sequentially interacts with uncorrelated bath molecules via energy-preserving unitaries. To ensure finite complexity, each molecule is constrained to be no larger than the system. We identify a necessary condition for cooling below the bath temperature via a single collision: The system must initially lack a well-defined effective temperature, even a negative one. By constructing an iterative protocol, we demonstrate that sub-bath cooling is achievable without a machine under these restricted thermal operations. Moreover, introducing a qubit machine further enhances both the cooling limit and energy efficiency. These findings contribute to the broader study of cooling with finite resources.

Physical review. A/Physical review, AVol. 112(4)
Centre for Quantum Technologies (SG), Shandong University (CN), National University of Singapore (SG)
National Research Foundation, National University of Singapore, National Research Foundation Singapore, Ministry of Education - Singapore, National Natural Science Foundation of China, Ministry of Education, India, China Scholarship Council, Centre for Quantum Technologies
Openalex Percentile: Top 9%
Advanced Optimization Algorithms Research
2.63
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