Erasure cost of a quantum process: A thermodynamic meaning of the dynamical min-entropy

TL;DR

This paper links the thermodynamic cost of erasing quantum information to the dynamical min-entropy, revealing that negative min-entropy allows work extraction, thus connecting quantum thermodynamics with information theory.

Contribution

It introduces the operational meaning of dynamical min-entropy as the adversarial erasure cost in quantum processes, bridging thermodynamics and quantum information theory.

Findings

Erasure cost is proportional to the negative min-entropy of the process.

Negative min-entropy enables thermodynamic work extraction.

Quantum process decoupling relates min-entropy to decoupling ability.

Abstract

The erasure of information is fundamentally an irreversible logical operation, carrying profound consequences for the energetics of computation and information processing. We investigate the thermodynamic costs associated with erasing (and preparing) quantum processes. Specifically, we analyze an arbitrary bipartite unitary gate acting on logical and ancillary input-output systems, where the ancillary input is always initialized in the ground state. We focus on the adversarial erasure cost of the reduced dynamics -- that is, the minimal thermodynamic work cost to erase the logical output of the gate for any logical input, assuming full access to the ancilla but no access to any purifying reference of the logical input state. We determine that this adversarial erasure cost is directly proportional to the negative min-entropy of the reduced dynamics, thereby giving the dynamical min-entropy a clear operational meaning. The dynamical min-entropy can take positive and negative values, depending on the underlying quantum dynamics. The negative value of the erasure cost implies that the extraction of thermodynamic work is possible instead of its consumption during the process. A key foundation of this result is the quantum process decoupling theorem, which quantitatively relates the decoupling ability of a process with its min-entropy. This insight bridges thermodynamics, information theory, and the fundamental limits of quantum computation.