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Fangjun Hu
Fangjun Hu
Department of Electrical and Computer Engineering, Princeton University
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Physical reservoir computing using finitely-sampled quantum systems
SA Khan, F Hu, G Angelatos, HE Türeci
arXiv preprint arXiv:2110.13849, 2021
162021
Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks
F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ...
Physical Review X 13 (4), 041020, 2023
8*2023
A Quantum Reservoir Computing Approach to Image Classification
F Hu, S Khan, G Angelatos, H Tureci
APS March Meeting Abstracts 2021, V32. 001, 2021
32021
Quantum Annealing Systems as Reservoirs I: Design and Performance
G Angelatos, H Tureci, F Hu, S Khan
APS March Meeting Abstracts 2022, W37. 004, 2022
12022
Generalization Error in Quantum Machine Learning in the Presence of Sampling Noise
F Hu, X Gao, H Tureci
Bulletin of the American Physical Society, 2024
2024
Demonstration of a Quantum Machine Learning Algorithm beyond the Coherence Time
H Tureci, F Hu, S Khan, N Bronn, G Ribeill, G Angelatos, G Rowlands
Bulletin of the American Physical Society, 2024
2024
Overcoming the Coherence Time Barrier in Quantum Machine Learning on Temporal Data
F Hu, SA Khan, NT Bronn, G Angelatos, GE Rowlands, GJ Ribeill, ...
arXiv preprint arXiv:2312.16165, 2023
2023
Harnessing multimode nonlinearity for quantum state measurement using quantum reservoir computing
S Khan, F Hu, G Angelatos, M Hatridge, H Tureci
APS March Meeting Abstracts 2023, T70. 001, 2023
2023
Learning in Finitely-Sampled Quantum Systems 2: Applications
G Angelatos, F Hu, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ...
APS March Meeting Abstracts 2023, K73. 002, 2023
2023
Learning in Finitely-Sampled Quantum Systems 1: Expressive Capacity
F Hu, G Angelatos, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ...
APS March Meeting Abstracts 2023, K73. 001, 2023
2023
Reservoir Computing on Current Quantum Processors
M Vives, G Angelatos, F Hu, H Tureci
APS March Meeting Abstracts 2022, W37. 007, 2022
2022
Quantum Annealing Systems as Reservoirs II: Quantum Channels and Computational Capacity
F Hu, G Angelatos, S Khan, H Tureci
APS March Meeting Abstracts 2022, W37. 005, 2022
2022
Computational processing capacity of quantum reservoirs across the classical-to-quantum transition
S Khan, F Hu, G Angelatos, H Tureci
APS March Meeting Abstracts 2022, W37. 008, 2022
2022
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