175 citations
- Hunan Normal UniversityCN8 papers
- Tsinghua UniversityCN5 papers
- Hunan UniversityCN4 papers
- Southwest Jiaotong UniversityCN3 papers
- Zhejiang Normal UniversityCN3 papers
- Beijing Normal UniversityCN2 papers
- Changsha Normal UniversityCN2 papers
- Hainan Normal UniversityCN2 papers
- Hunan First Normal UniversityCN2 papers
- Jiangsu University of TechnologyCN2 papers
- Langfang Normal UniversityCN2 papers
- RIKENJP2 papers
34 papers
Limitations of strong coupling in non-Markovian quantum thermometry
Qing-Shou Tan, Yang Liu, Xulin Liu +3
We investigate quantum thermometry using a single-qubit probe embedded in a non-Markovian environment, employing the numerically exact hierarchical equations of motion (HEOM) to ov…
The construction of a universal quantum gate set for the SU(2)k (k=5,6,7) anyon models via genetic optimized algorithm
Jiangwei Long, Yizhi Li, Jianxin Zhong +1
We study systematically numerical method into constructing a universal quantum gate set for topological quantum computation (TQC) using SU(2)k anyon models. The F-matrices and R-sy…
Reinforcement learning assisted non-reciprocal optomechanical gyroscope
Qing-Shou Tan, Ya-Feng Jiao, Yunlan Zuo +3
We propose a novel optomechanical gyroscope architecture based on a spinning cavity optomechanical resonator (COM) evanescently coupled to a tapered optical fiber without relying o…
Quantum information flow in impurity qubits interacting with Bose-Bose mixtures
Abdelaali Boudjemaa, Lan Xu, Qing-Shou Tan
We investigate the dynamics of quantum information flow in one and two impurity qubits trapped in a double-well potential and interacting with a one-dimensional ultracold Bose-Bose…
Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning
Yu-Hong Liu, Qing-Shou Tan, Le-Man Kuang +1
Nonclassical mechanical states, as vital quantum resources for exploring macroscopic quantum behavior, have wide applications in the study of the fundamental quantum mechanics and…
Optimal control of linear Gaussian quantum systems via quantum learning control
Yu-Hong Liu, Yexiong Zeng, Qing-Shou Tan +3
Efficiently controlling linear Gaussian quantum (LGQ) systems is a significant task in both the study of fundamental quantum theory and the development of modern quantum technology…