98 citations · 126 across the 4 of their papers we have counts for
4 papers
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…
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…
Discrete Quantum Geometry and Intrinsic Spin Hall Effect
Jie-Xiang Yu, Jiadong Zang, Roger K. Lake +2
We show that the quantum geometry of the Fermi surface can be numerically described by a 3-dimensional discrete quantum manifold. This approach not only avoids singularities in the…
Topological Quantum Compiling with Reinforcement Learning
Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang +1
Quantum compiling, a process that decomposes the quantum algorithm into a series of hardware-compatible commands or elementary gates, is of fundamental importance for quantum compu…