122 citations · 220 across the 6 of their papers we have counts for
6 papers
Unified Quantum State Tomography and Hamiltonian Learning Using Transformer Models: A Language-Translation-Like Approach for Quantum Systems
Zheng An, Jiahui Wu, Muchun Yang +2
Schrödinger's equation serves as a fundamental component in characterizing quantum systems, wherein both quantum state tomography and Hamiltonian learning are instrumental in compr…
Learning quantum phases via single-qubit disentanglement
Zheng An, Chenfeng Cao, Cheng-Qian Xu +1
Identifying phases of matter presents considerable challenges, particularly within the domain of quantum theory, where the complexity of ground states appears to increase exponenti…
Quantum imaginary time evolution steered by reinforcement learning
Chenfeng Cao, Zheng An, Shi-Yao Hou +2
The quantum imaginary time evolution is a powerful algorithm for preparing the ground and thermal states on near-term quantum devices. However, algorithmic errors induced by Trotte…
Quantum optimal control of multi-level dissipative quantum systems with Reinforcement Learning
Zheng An, Qi-Kai He, Hai-Jing Song +1
Manipulate and control of the complex quantum system with high precision are essential for achieving universal fault tolerant quantum computing. For a physical system with restrict…
Deep Reinforcement Learning for Quantum Gate Control
Zheng An, D. L. Zhou
How to implement multi-qubit gates efficiently with high precision is essential for realizing universal fault tolerant computing. For a physical system with some external controlla…
Generating photons from vacuum with counter rotating wave interaction
Hai-Jing Song, Qi-Kai He, Zheng An +1
We propose a bang-bang control scheme to enhance photon generation from the vacuum via the counter-rotating wave (CRW) interaction, and develop a pruning greedy algorithm (PGA) to…