activity
20232025
most citedQuantum thermodynamics with coherence: Covariant Gibbs-preserving operation is characterized by the free energy

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Recovery of the second law in fully quantum thermodynamics

Naoto Shiraishi, Ryuji Takagi

Quantum thermodynamics investigates how robust the second law of thermodynamics serves as the unique fundamental law in the small quantum world. To tackle this problem, the quantum…

physics.bio-ph2025

Local stabilizability implies global controllability in catalytic reaction systems

Yusuke Himeoka, Shuhei A. Horiguchi, Naoto Shiraishi +2

Controlling complex reaction networks is a fundamental challenge in the fields of physics, biology, and systems engineering. Here, we prove a general principle for catalytic reacti…

cond-mat.stat-mech2024

Exactly solvable quantum spin-glass model with 1RSB-fullRSB transition

Naoto Shiraishi

We introduce a novel quantum spin-glass model, a Sherrington-Kirkpatrick model with a transverse mean-field type random magnet. We rigorously derive the exact expression of the fre…

quant-ph2024

Correlated catalyst in quantum thermodynamics

Naoto Shiraishi

In this short review article, we present recent progress in quantum thermodynamics in the framework with a correlated catalyst. We examine two key properties of thermal operations,…

quant-ph2024★ 3 cited

Quantum thermodynamics with coherence: Covariant Gibbs-preserving operation is characterized by the free energy

Naoto Shiraishi

The resource theory with covariant Gibbs-preserving operations, also called enhanced thermal operations, is investigated. We prove that with the help of a correlated catalyst, the…

cond-mat.stat-mech2023★ 2 cited

Wasserstein distance in speed limit inequalities for Markov jump processes

Naoto Shiraishi

The role of the Wasserstein distance in the thermodynamic speed limit inequalities for Markov jump processes is investigated. We elucidate the nature of the Wasserstein distance in…