Conditional entropy production and quantum fluctuation theorem of dissipative information: Theory and experiments
Kun Zhang, Xuanhua Wang, Qian Zeng, Jin Wang

TL;DR
This paper introduces a quantum framework for understanding entropy production and dissipative information in system-environment dynamics, revealing new thermodynamic insights and experimentally verifying fluctuation theorems on quantum computers.
Contribution
It develops a theory linking quantum conditional entropy production with dissipative information and experimentally verifies related fluctuation theorems using IBM quantum computers.
Findings
Quantum conditional entropy production quantifies irreversibility with a reference system.
Dissipative information measures correlation-induced thermodynamic costs.
Experimental verification of quantum fluctuation theorem for dissipative information.
Abstract
We study quantum conditional entropy production, which quantifies the irreversibility of system-environment evolution from the perspective of a third system, called the reference. The reference is initially correlated with the system. We show that the quantum unconditional entropy production with respect to the system is less than the conditional entropy production with respect to the reference, where the latter includes a reference-induced dissipative information. The dissipative information pinpoints the distributive correlation established between the environment and the reference, even though they do not interact directly. When reaching the thermal equilibrium, the system-environment evolution has a zero unconditional entropy production. However, one can still have a nonzero conditional entropy production with respect to the reference, which characterizes the informational…
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