activity
20152022
most citedQuantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems

15 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing quant-phShow all

16 papers · 1 filter

quant-ph2023

Experimental simulation of quantum superchannels

Hang Li, Kai Wang, Shijie Wei +5

Simulating quantum physical processes has been one of the major motivations for quantum information science. Quantum channels, which are completely positive and trace preserving pr…

quant-ph20223 cited

A Probabilistic Imaginary Time Evolution Algorithm Based on Non-unitary Quantum Circuit

Hao-Nan Xie, Shi-Jie Wei, Fan Yang +4

Imaginary time evolution is a powerful tool applied in quantum physics, while existing classical algorithms for simulating imaginary time evolution suffer high computational comple…

quant-ph20222 cited

QCSH: a Full Quantum Computer Nuclear Shell-Model Package

Peng Lv, Shi-Jie Wei, Hao-Nan Xie +1

Nucleus is a typical many-body quantum system. Full calculation of a nuclear system in a classical computer is far beyond the capacity of current classical computers. With fast dev…

quant-ph202215 cited

Quantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems

Jin-Min Liang, Shi-Jie Wei, Shao-Ming Fei

The gradient descent approach is the key ingredient in variational quantum algorithms and machine learning tasks, which is an optimization algorithm for finding a local minimum of…

quant-ph2021

A Quantum Convolutional Neural Network on NISQ Devices

ShiJie Wei, YanHu Chen, ZengRong Zhou +1

Quantum machine learning is one of the most promising applications of quantum computing in the Noisy Intermediate-Scale Quantum(NISQ) era. Here we propose a quantum convolutional n…

quant-ph2020

Quantum Gradient Algorithm for General Polynomials

Keren Li, Pan Gao, Shijie Wei +2

Gradient-based algorithms, popular strategies to optimization problems, are essential for many modern machine-learning techniques. Theoretically, extreme points of certain cost fun…