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20172026
most citedQuantum Simulation of Resonant Transitions for Solving the Eigen-problem of an Effective Water Hamiltonian

43 citations · 62 across the 5 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Quantum neural network equipped with backpropagation on a qudit processor

Yibo Yuan, Zhuoyue Xu, Zhenyue Du +7

Quantum neural networks (QNNs), one of the fundamental algorithms in quantum machine learning, have been widely used in classification and identification tasks. However, the capabi…

quant-ph20252 cited

High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins

Yanjun Hou, Juncheng Hua, Ze Wu +6

Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum…

quant-ph20231 cited

Møller-Plesset Perturbation Theory Calculations on Quantum Devices

Junxu Li, Xingyu Gao, Manas Sajjan +3

Accurate electronic structure calculations might be one of the most anticipated applications of quantum computing.The recent landscape of quantum simulations within the Hartree-Foc…

quant-ph201943 cited

Quantum Simulation of Resonant Transitions for Solving the Eigen-problem of an Effective Water Hamiltonian

Zhaokai Li, Xiaomei Liu, Hefeng Wang +5

It is difficult to calculate the energy levels and eigenstates of a large physical system on a classical computer because of the exponentially growing size of the Hilbert space. In…

quant-ph2018

Quantum speed-up in solving the maximal clique problem

Weng-Long Chang, Qi Yu, Zhaokai Li +3

The maximal clique problem, to find the maximally sized clique in a given graph, is classically an NP-complete computational problem, which has potential applications ranging from…

quant-ph2017

Uncertainty conservation relations: theory and experiment

Hengyan Wang, Zhihao Ma, Shengjun Wu +8

As a very fundamental principle in quantum physics, uncertainty principle has been studied intensively via various uncertainty inequalities. Based on the information measure introd…