53 citations · 328 across the 20 of their papers we have counts for
6 papers · 1 filter
Mitigating algorithmic errors in quantum optimization through energy extrapolation
Chenfeng Cao, Yunlong Yu, Zipeng Wu +3
Quantum optimization algorithms offer a promising route to finding the ground states of target Hamiltonians on near-term quantum devices. None the less, it remains necessary to lim…
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 Approximate Optimization Algorithm with Adaptive Bias Fields
Yunlong Yu, Chenfeng Cao, Carter Dewey +3
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction into one which encodes a solution to a difficult classical optimization problem. I…
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…
All-optical neural network quantum state tomography
Ying Zuo, Chenfeng Cao, Ningping Cao +3
Quantum state tomography (QST) is a crucial ingredient for almost all aspects of experimental quantum information processing. As an analog of the "imaging" technique in the quantum…
SpinQ Gemini: a desktop quantum computer for education and research
Shi-Yao Hou, Guanru Feng, Zipeng Wu +13
SpinQ Gemini is a commercial desktop quantum computer designed and manufactured by SpinQ Technology. It is an integrated hardware-software system. The first generation product with…