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Yu-Jie Liu
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Realizing topologically ordered states on a quantum processor
KJ Satzinger, YJ Liu, A Smith, C Knapp, M Newman, C Jones, Z Chen, ...
Science 374 (6572), 1237-1241, 2021
3842021
Methods for simulating string-net states and anyons on a digital quantum computer
YJ Liu, K Shtengel, A Smith, F Pollmann
PRX Quantum 3 (4), 040315, 2022
442022
Data compression for quantum machine learning
R Dilip, YJ Liu, A Smith, F Pollmann
Physical Review Research 4 (4), 043007, 2022
422022
Transitions in synchronization states of model cilia through basal-connection coupling
YJ Liu, R Claydon, M Polin, DR Brumley
Journal of The Royal Society Interface 15 (147), 20180450, 2018
262018
Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
YJ Liu, A Smith, M Knap, F Pollmann
Physical Review Letters 130 (22), 220603, 2023
192023
Dissipative phase transitions and passive error correction
YJ Liu, S Lieu
Physical Review A 109 (2), 022422, 2024
162024
Candidate for a passively protected quantum memory in two dimensions
S Lieu*, YJ Liu*, AV Gorshkov
Physical Review Letters 133 (3), 030601, 2024
92024
Topological quantum phase transitions in 2D isometric tensor networks
YJ Liu, K Shtengel, F Pollmann
arXiv preprint arXiv:2312.05079, 2023
72023
Quantum phase transition between symmetry enriched topological phases in tensor-network states
L Haller, WT Xu, YJ Liu, F Pollmann
Physical Review Research 5 (4), 043078, 2023
62023
Bounds on Autonomous Quantum Error Correction
O Shtanko*, YJ Liu*, S Lieu, AV Gorshkov, VV Albert
arXiv preprint arXiv:2308.16233, 2023
12023
Autonomous Global Decoders for Quantum Memories
O Shtanko, YJ Liu, S Lieu, VV Albert, AV Gorshkov
American Physical Society (March Meeting), 2023
2023
Learning the Structure of Quantum Phases of Matter with a Quantum Convolutional Neural Network
YJ Liu, M Knap, F Pollmann
APS March Meeting Abstracts 2023, LL07. 008, 2023
2023
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