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Quantum Thermodynamics
Theoretical bound of the efficiency of learning
arXiv
Authors: Shanhe Su, Ousi Pan, Shihao Xia, Jincan Chen, Chikako Uchiyama
Year
2022
Paper ID
59265
Status
Preprint
Abstract Read
~2 min
Abstract Words
84
Citations
N/A
Abstract
A unified thermodynamic formalism describing the efficiency of learning is proposed. First, we derive an inequality, which is more strength than Clausius's inequality, revealing the lower bound of the entropy-production rate of a subsystem. Second, the inequality is transformed to determine the general upper limit for the efficiency of learning. In particular, we exemplify the bound of the efficiency in nonequilibrium quantum-dot systems and networks of living cells. The framework provides a fundamental trade-off relationship between energy and information inheriting in stochastic thermodynamic processes.
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- This paper contributes to the Quantum Thermodynamics research area in the Quantum Articles archive.
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- A unified thermodynamic formalism describing the efficiency of learning is proposed.
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