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

96 citations · 245 across the 13 of their papers we have counts for

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Showing 2022 · quant-phShow all

6 papers · 2 filters

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…