activity
20192023
most citedVariational Quantum Singular Value Decomposition

70 citations · 165 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2023★ 3 cited

Ground state preparation with shallow variational warm-start

Youle Wang, Chenghong Zhu, Mingrui Jing +1

Preparing the ground states of a many-body system is essential for evaluating physical quantities and determining the properties of materials. This work provides a quantum ground s…

quant-ph2022★ 29 cited

Quantum Phase Processing and its Applications in Estimating Phase and Entropies

Youle Wang, Lei Zhang, Zhan Yu +1

Quantum computing can provide speedups in solving many problems as the evolution of a quantum system is described by a unitary operator in an exponentially large Hilbert space. Suc…

quant-ph2022★ 34 cited

Quantum algorithms for estimating quantum entropies

Youle Wang, Benchi Zhao, Xin Wang

The von Neumann and quantum Rényi entropies characterize fundamental properties of quantum systems and lead to theoretical and practical applications in many fields. Quantum algori…

quant-ph2021★ 10 cited

A Hybrid Quantum-Classical Hamiltonian Learning Algorithm

Youle Wang, Guangxi Li, Xin Wang

Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators. In this paper, we propose a hybrid quantum-classical Hamiltonian learning algorithm…

quant-ph2020★ 70 cited

Variational Quantum Singular Value Decomposition

Xin Wang, Zhixin Song, Youle Wang

Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and th…

quant-ph2020★ 16 cited

Variational quantum Gibbs state preparation with a truncated Taylor series

Youle Wang, Guangxi Li, Xin Wang

The preparation of quantum Gibbs state is an essential part of quantum computation and has wide-ranging applications in various areas, including quantum simulation, quantum optimiz…

quant-ph2019★ 3 cited

Quantum Data Fitting Algorithm for Non-sparse Matrices

Guangxi Li, Youle Wang, Yu Luo +1

We propose a quantum data fitting algorithm for non-sparse matrices, which is based on the Quantum Singular Value Estimation (QSVE) subroutine and a novel efficient method for reco…