Quantar Lab Tohoku University
Axion potential landscape used in quantum simulation of the Peccei-Quinn mechanism

Quantum simulation

We use quantum circuits and controlled open systems to simulate dynamics that are hard to access classically — from spin ensembles and quantum batteries to lattice models such as the Peccei–Quinn mechanism.

The goal is both practical — efficient state and ground-state preparation on near-term devices — and exploratory, using simulation to probe physics with no simple classical description.

Related publications

Quantum simulation of strong charge-parity violation and the Peccei-Quinn mechanism

Le Bin Ho

Physical Review D 113, 074507 (2026)

Peer‑reviewed

Boosting the performance of a Lipkin-Meshkov-Glick quantum battery via symmetry-breaking quenches or a single-mode bosonic charger

Le Bin Ho, Duc Tuan Hoang, Tran Duong Anh-Tai, Thomas Busch, Thomas Fogarty

Physical Review A 114, 022210 (2026)

Peer‑reviewed

Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation

Thanh Nguyen Van Long, Lan Nguyen Tran, Le Bin Ho

arXiv:2512.13044

Preprint

Quantum battery optimization through quantum machine learning techniques

Vu Tuan Hai, Vo Minh Kiet, Le Vu Trung Duong, Pham Hoai Luan, Le Bin Ho, Yasuhiko Nakashima

2024 21st International SoC Design Conference (ISOCC), 121-122 (2024)

Peer‑reviewed

tqix.pis: a toolbox for quantum dynamics simulation of spin ensembles in Dicke basis

Nguyen Tan Viet, Nguyen Thi Chuong, Vu Thi Ngoc Huyen, Le Bin Ho

Computer Physics Communications 286, 108686 (2023)

Peer‑reviewed

Experimenting quantum phenomena on NISQ computers using high level quantum programming

Duc M. Tran, Duy V. Nguyen, Le Bin Ho, Hung Q. Nguyen

EPJ Quantum Technology 9, 6 (2022)

Peer‑reviewed

Realization of controllable open system with NMR

Le Bin Ho, Yuichiro Matsuzaki, Masayuki Matsuzaki, Yasushi Kondo

New Journal of Physics 21, 093008 (2019)

Peer‑reviewed

All publications →