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Minzhao Liu
Minzhao Liu
其他姓名Henry Liu
Applied Research Associate Sr., JPMorgan Chase & Co.
在 uchicago.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Towards provably efficient quantum algorithms for large-scale machine-learning models
J Liu, M Liu, JP Liu, Z Ye, Y Alexeev, J Eisert, L Jiang
Nature Communications 15, 434, 2023
262023
Classical algorithm for simulating experimental Gaussian boson sampling
C Oh, M Liu, Y Alexeev, B Fefferman, L Jiang
Nature Physics, 2024
23*2024
Simulating lossy Gaussian boson sampling with matrix-product operators
M Liu, C Oh, J Liu, L Jiang, Y Alexeev
Phys Rev A 108 (5), 052604, 2023
16*2023
Estimating the randomness of quantum circuit ensembles up to 50 qubits
M Liu, J Liu, Y Alexeev, L Jiang
npj Quantum Information 8, 137, 2022
122022
Embedding learning in hybrid quantum-classical neural networks
M Liu, J Liu, R Liu, H Makhanov, D Lykov, A Apte, Y Alexeev
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
92022
Experimental implementation of wavefront sensorless real-time adaptive optics aberration correction control loop with a neural network
M Liu, DN Lopez, GC Spalding
Emerging Topics in Artificial Intelligence 2020 11469, 59-67, 2020
32020
The computational power of random quantum circuits in arbitrary geometries
M DeCross, R Haghshenas, M Liu, Y Alexeev, CH Baldwin, JP Bartolotta, ...
arXiv preprint arXiv:2406.02501, 2024
12024
Stochastic Approach for Simulating Quantum Noise Using Tensor Networks
W Berquist, D Lykov, M Liu, Y Alexeev
2022 IEEE/ACM Third International Workshop on Quantum Computing Software …, 2022
12022
Exploration of quantum machine learning and ai accelerators for fusion science
M Liu, G Dong, KG Felker, M Otten, P Balaprakash, W Tang, Y Alexeev
Argonne National Lab.(ANL), Argonne, IL (United States), 2022
12022
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