9 citations · 13 across the 3 of their papers we have counts for
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quant-ph2023★ 9 cited
Exploring the Optimal Cycle for Quantum Heat Engine using Reinforcement Learning
Gao-xiang Deng, Haoqiang Ai, Bingcheng Wang +3
Quantum thermodynamic relationships in emerging nanodevices are significant but often complex to deal with. The application of machine learning in quantum thermodynamics has provid…
quant-ph2023★ 3 cited
Continuous Three-level Quantum Heat Engine with High Performance Under Medium Temperature Difference
Gao-xiang Deng, Wei Shao, Yu Liu +1
The possibility of utilizing quantum effects to enhance the performance of quantum heat engines has been an active topic of research, but how to enhance the performance by optimizi…