activity
20152023
most citedNear-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation

96 citations · 551 across the 23 of their papers we have counts for

collaborators

24 papers

cond-mat.mtrl-sci2023★ 1 cited

A powered full quantum eigensolver for energy band structures

Bozhi Wang, Jingwei Wen, Jiawei Wu +4

There has been an increasing research focus on quantum algorithms for condensed matter systems recently, particularly on calculating energy band structures. Here, we propose a quan…

quant-ph2023★ 2 cited

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-ph2022★ 96 cited

Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation

He-Liang Huang, Xiao-Yue Xu, Chu Guo +5

Quantum computing is a game-changing technology for global academia, research centers and industries including computational science, mathematics, finance, pharmaceutical, material…

quant-ph2022★ 45 cited

Factoring integers with sublinear resources on a superconducting quantum processor

Bao Yan, Ziqi Tan, Shijie Wei +21

Shor's algorithm has seriously challenged information security based on public key cryptosystems. However, to break the widely used RSA-2048 scheme, one needs millions of physical…

quant-ph2022★ 3 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-ph2022★ 2 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-ph2022★ 32 cited

A Variational Quantum Attack for AES-like Symmetric Cryptography

ZeGuo Wang, ShiJie Wei, Gui-Lu Long +1

We propose a variational quantum attack algorithm (VQAA) for classical AES-like symmetric cryptography, as exemplified the simplified-data encryption standard (S-DES). In the VQAA,…

quant-ph2022★ 15 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★ 8 cited

A full circuit-based quantum algorithm for excited-states in quantum chemistry

Jingwei Wen, Zhengan Wang, Chitong Chen +7

Utilizing quantum computer to investigate quantum chemistry is an important research field nowadays. In addition to the ground-state problems that have been widely studied, the det…

quant-ph2021★ 38 cited

A quantum circuit design of AES

ZeGuo Wang, ShiJie Wei, GuiLu Long

Advanced Encryption Standard(AES) is one of the most widely used block ciphers nowadays, and has been established as an encryption standard in 2001. Here we design AES-128 and the…

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★ 15 cited

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…

quant-ph2019★ 4 cited

An Optimized Quantum Maximum or Minimum Searching Algorithm and its Circuits

Yanhu Chen, Shijie Wei, Xiong Gao +3

Finding a maximum or minimum is a fundamental building block in many mathematical models. Compared with classical algorithms, Durr, Hoyer's quantum algorithm (DHA) achieves quadrat…

quant-ph2019★ 5 cited

A Full Quantum Eigensolver for Quantum Chemistry Simulations

Shijie Wei, Hang Li, GuiLu Long

Quantum simulation of quantum chemistry is one of the most compelling applications of quantum computing. It is of particular importance in areas ranging from materials science, bio…

quant-ph2019★ 51 cited

Experimental observation of information flow in the anti--symmetric system

Jingwei Wen, Guoqing Qin, Chao Zheng +4

The recently theoretical and experimental researches related to -symmetric system have attracted unprecedented attention because of various novel features and potenti…

quant-ph2018★ 5 cited

Experimental Simulation of Bosonic Creation and Annihilation Operators in a Quantum Processor

Xiangyu Kong, Shijie Wei, Jingwei Wen +1

The ability of implementing quantum operations plays fundamental role in manipulating quantum systems. Creation and annihilation operators which transform a quantum state to anothe…

quant-ph2018★ 86 cited

A Quantum Algorithm for Solving Linear Differential Equations: Theory and Experiment

Tao Xin, Shijie Wei, Jianlian Cui +7

We present and experimentally realize a quantum algorithm for efficiently solving the following problem: given an matrix , an -dimensional vector $\text…

quant-ph2018★ 53 cited

Experimental realization of quantum algorithms for linear system inspired by adiabatic quantum computing

Jingwei Wen, Xiangyu Kong, Shijie Wei +3

Quantum adiabatic algorithm is of vital importance in quantum computation field. It offers us an alternative approach to manipulate the system instead of quantum gate model. Recent…

quant-ph2018★ 27 cited

Optimizing a Polynomial Function on a Quantum Simulator

Keren Li, Shijie Wei, Feihao Zhang +5

Gradient descent method, as one of the major methods in numerical optimization, is the key ingredient in many machine learning algorithms. As one of the most fundamental way to sol…

quant-ph2018★ 14 cited

Experimental realization of noise-induced adiabaticity in nuclear magnetic resonance

B X Wang, T Xin, X Y Kong +3

The adiabatic evolution is the dynamics of an instantaneous eigenstate of a slowly varing Hamiltonian. Recently, an interesting phenomenon shows up that white noises can enhance an…

quant-ph2017★ 2 cited

Implementation of Multiparty quantum clock synchronization

Xiangyu Kong, Tao Xin, ShiJie Wei +4

The quantum clock synchronization (QCS) is to measure the time difference among the spatially separated clocks with the principle of quantum mechanics. The first QCS algorithm prop…

quant-ph2017★ 1 cited

Efficient universal quantum channel simulation in IBM's cloud quantum computer

Shi-Jie Wei, Tao Xin, Gui-Lu Long

The study of quantum channels is the fundamental field and promises wide range of applications, because any physical process can be represented as a quantum channel transforming an…

quant-ph2017★ 46 cited

Quantum simulation of quantum channels in nuclear magnetic resonance

Tao Xin, Shi-Jie Wei, Julen S. Pedernales +2

We propose and experimentally demonstrate an efficient framework for the quantum simulation of quantum channels in NMR. Our approach relies on the suitable decomposition of non-uni…

quant-ph2015

Duality quantum computer and the efficient quantum simulations

Shi-Jie Wei, Gui-Lu Long

In this paper, we firstly briefly review the duality quantum computer. Distinctly, the generalized quantum gates, the basic evolution operators in a duality quantum computer are no…