19 citations · 44 across the 3 of their papers we have counts for
5 papers
Ultra-Fast Semi-Empirical Quantum Chemistry for High-Throughput Computational Campaigns with Sparrow
Francesco Bosia, Peikun Zheng, Alain Vaucher +3
Semi-empirical quantum chemical approaches are known to compromise accuracy for feasibility of calculations on huge molecules. However, the need for ultrafast calculations in inter…
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…
Ground-state properties via machine learning quantum constraints
Pei-Lin Zheng, Si-Jing Du, Yi Zhang
Ground-state properties are central to our understanding of quantum many-body systems. At first glance, it seems natural and essential to obtain the ground state before analyzing i…
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…