activity
20242026
most citedCrosscap Quenches and Entanglement Evolution

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Second law of thermodynamics in closed quantum many-body systems

Yuuya Chiba, Yasushi Yoneta, Ryusuke Hamazaki +1

The second law of thermodynamics for adiabatic operations -- constraints on state transitions in closed systems under external control -- is one of the fundamental principles of th…

hep-th20261 cited

Crosscap Quenches and Entanglement Evolution

Zixia Wei, Yasushi Yoneta

Understanding the mechanisms by which complex correlations emerge through the dynamics of quantum many-body systems remains a fundamental challenge in modern physics. To address th…

quant-ph2025

Optimal statistical ensembles for quantum thermal state preparation within the quantum singular value transformation framework

Yasushi Yoneta

Preparing thermal equilibrium states is an essential task for finite-temperature quantum simulations. In statistical mechanics, microstates in thermal equilibrium can be obtained f…

cond-mat.stat-mech2024

Thermal Pure States for Systems with Antiunitary Symmetries and Their Tensor Network Representations

Yasushi Yoneta

Thermal pure state algorithms, which employ pure quantum states representing thermal equilibrium states instead of statistical ensembles, are useful both for numerical simulations…

cond-mat.stat-mech2024

Exact Thermal Eigenstates of Nonintegrable Spin Chains at Infinite Temperature

Yuuya Chiba, Yasushi Yoneta

The eigenstate thermalization hypothesis (ETH) plays a major role in explaining thermalization of isolated quantum many-body systems. However, there has been no proof of the ETH in…

cond-mat.stat-mech2024

Efficient Simulation of Low Temperature Physics in One-Dimensional Gapless Systems

Yuya Kusuki, Kotaro Tamaoka, Zixia Wei +1

We discuss the computational efficiency of the finite temperature simulation with the minimally entangled typical thermal states (METTS). To argue that METTS can be efficiently rep…