28 citations · 59 across the 5 of their papers we have counts for
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quant-ph2022★ 4 cited
Maximum-Likelihood-Estimate Hamiltonian learning via efficient and robust quantum likelihood gradient
Tian-Lun Zhao, Shi-Xin Hu, Yi Zhang
Given the recent developments in quantum techniques, modeling the physical Hamiltonian of a target quantum many-body system is becoming an increasingly practical and vital research…
quant-ph2022★ 6 cited
Efficient and quantum-adaptive machine learning with fermion neural networks
Pei-Lin Zheng, Jia-Bao Wang, Yi Zhang
Classical artificial neural networks have witnessed widespread successes in machine-learning applications. Here, we propose fermion neural networks (FNNs) whose physical properties…
quant-ph2022★ 19 cited
Quantum Dropout: On and Over the Hardness of Quantum Approximate Optimization Algorithm
Zhen-Duo Wang, Pei-Lin Zheng, Biao Wu +1
A combinatorial optimization problem becomes very difficult in situations where the energy landscape is rugged, and the global minimum locates in a narrow region of the configurati…