Follow
Linghua Zhu
Title
Cited by
Cited by
Year
Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm
BT Gard, L Zhu, GS Barron, NJ Mayhall, SE Economou, E Barnes
npj Quantum Information 6 (1), 10, 2020
1912020
Adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer
L Zhu, HL Tang, GS Barron, FA Calderon-Vargas, NJ Mayhall, E Barnes, ...
Physical Review Research 4 (3), 033029, 2022
1292022
Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm, npj Quantum Inf
BT Gard, L Zhu, GS Barron, NJ Mayhall, SE Economou, E Barnes
DOI 6 (10), 023072-12, 2020
342020
How much entanglement do quantum optimization algorithms require?
Y Chen, L Zhu, NJ Mayhall, E Barnes, SE Economou
Quantum 2.0, QM4A. 2, 2022
152022
Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm. npj Quantum Inf. 2020, 6, 10
BT Gard, L Zhu, GS Barron, NJ Mayhall, SE Economou, E Barnes
Google Scholar There is no corresponding record for this reference, 0
13
Flat energy bands within antiphase and twin boundaries and at open edges in topological materials
L Zhu, E Prodan, KH Ahn
Physical Review B 99 (4), 041117, 2019
122019
An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer (2020)
L Zhu, HL Tang, GS Barron, FA Calderon-Vargas, NJ Mayhall, E Barnes, ...
URL https://arxiv. org/abs, 2005
102005
Observation of flat frequency bands at open edges and antiphase boundary seams in topological mechanical metamaterials
K Qian, L Zhu, KH Ahn, C Prodan
Physical Review Letters 125 (22), 225501, 2020
82020
Adaptive variational algorithms for quantum Gibbs state preparation
A Warren, L Zhu, NJ Mayhall, E Barnes, SE Economou
arXiv preprint arXiv:2203.12757, 2022
72022
Adaptive variational algorithms for quantum gibbs state preparation, 2022
A Warren, L Zhu, NJ Mayhall, E Barnes, SE Economou
URL https://arxiv. org/abs/2203.12757, 0
6
An adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer. arXiv 2020
L Zhu, HL Tang, GS Barron, F Calderon-Vargas, NJ Mayhall, E Barnes, ...
arXiv preprint arXiv:2005.10258, 0
5
Quantum 2.0 Conference and Exhibition
Y Chen, L Zhu, C Liu, NJ Mayhall, E Barnes, SE Economou
Optica Publishing Group, 2022
32022
Improving the performance of quantum approximate optimization algorithm through an adaptive, problem-tailored ansatz
L Zhu, HL Tang, G Barron, F Calderon-Vargas, N Mayhall, E Barnes, ...
APS March Meeting Abstracts 2021, L34. 010, 2021
32021
Photoinduced nonequilibrium dynamics in charge ordered materials
L Zhu, TF Seman, M Van Veenendaal, KH Ahn
Journal of Applied Physics 123 (11), 2018
22018
Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm. npj Quantum Inf. 6, 10 (2020)
BT Gard, L Zhu, GS Barron
2
Optimizing shot assignment in variational quantum eigensolver measurement
L Zhu, S Liang, C Yang, X Li
Journal of Chemical Theory and Computation 20 (6), 2390-2403, 2024
12024
Reinforcement Learning-Assisted Shot Assignment for Improved Convergence in Variational Quantum Eigensolver
L Zhu, S Liang, C Yang, X Li
Bulletin of the American Physical Society, 2024
2024
RNN-VQE: a machine learning approach to generating variational ansatze
A Warren, L Zhu, HL Tang, K Najafi, E Barnes, S Economou
Bulletin of the American Physical Society 65, 2020
2020
Efficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm
L Zhu, B Gard, G Barron, N Mayhall, S Economou, E Barnes
Bulletin of the American Physical Society 65, 2020
2020
Systematically Improving Quantum Approximate Optimization Algorithm with an Adaptive Ansatz
S Economou, L Zhu, HL Tang, G Barron, E Barnes, N Mayhall
Bulletin of the American Physical Society 65, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20