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quant-ph2023
Quantum Neural Network Inspired Hardware Adaptable Ansatz for Efficient Quantum Simulation of Chemical Systems
Xiongzhi Zeng, Yi Fan, Jie Liu +2
The variational quantum eigensolver is a promising way to solve the Schrödinger equation on a noisy intermediate-scale quantum (NISQ) computer, while its success relies on a well-d…
quant-ph2023
A real neural network state for quantum chemistry
Yangjun Wu, Xiansong Xu, Dario Poletti +3
The restricted Boltzmann machine (RBM) has been successfully applied to solve the many-electron Schrdinger equation. In this work we propose a single-layer fully c…
quant-ph2022★ 1 cited
Divide-and-conquer variational quantum algorithms for large-scale electronic structure simulations
Huan Ma, Yi Fan, Jie Liu +3
Exploring the potential application of quantum computers in material design and drug discovery has attracted a lot of interest in the age of quantum computing. However, the quantum…