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Hsin-Yuan Huang

Showing results (1-10 of 21) with videos related to

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Physical Review Letters|July 30, 2021
Efficient Estimation of Pauli Observables by DerandomizationHsin-Yuan Huang, Richard Kueng, John Preskill
Physical Review Letters|May 28, 2021
Information-Theoretic Bounds on Quantum Advantage in Machine LearningHsin-Yuan Huang, Richard Kueng, John Preskill
Science (New York, N.Y.)|July 3, 2025
Random unitaries in extremely low depthThomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang
Nature Communications|February 12, 2024
Publisher Correction: The complexity of NISQSitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
Nature Communications|September 26, 2023
The complexity of NISQSitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
Physical Review Letters|June 2, 2023
Learning Many-Body Hamiltonians with Heisenberg-Limited ScalingHsin-Yuan Huang, Yu Tong, Di Fang, et al.
Physical Review Letters|May 17, 2024
Tight Bounds on Pauli Channel Learning without EntanglementSenrui Chen, Changhun Oh, Sisi Zhou, et al.
Science (New York, N.Y.)|September 22, 2022
Provably efficient machine learning for quantum many-body problemsHsin-Yuan Huang, Richard Kueng, Giacomo Torlai, et al.
Nature Computational Science|January 4, 2024
Challenges and opportunities in quantum machine learningM Cerezo, Guillaume Verdon, Hsin-Yuan Huang, et al.
Physical Review Letters|November 7, 2025
Classically Estimating Observables of Noiseless Quantum CircuitsArmando Angrisani, Alexander Schmidhuber, Manuel S Rudolph, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Physical Review Letters|July 30, 2021
Efficient Estimation of Pauli Observables by DerandomizationHsin-Yuan Huang, Richard Kueng, John Preskill
Physical Review Letters|May 28, 2021
Information-Theoretic Bounds on Quantum Advantage in Machine LearningHsin-Yuan Huang, Richard Kueng, John Preskill
Science (New York, N.Y.)|July 3, 2025
Random unitaries in extremely low depthThomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang
Nature Communications|February 12, 2024
Publisher Correction: The complexity of NISQSitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
Nature Communications|September 26, 2023
The complexity of NISQSitan Chen, Jordan Cotler, Hsin-Yuan Huang, et al.
Physical Review Letters|June 2, 2023
Learning Many-Body Hamiltonians with Heisenberg-Limited ScalingHsin-Yuan Huang, Yu Tong, Di Fang, et al.
Physical Review Letters|May 17, 2024
Tight Bounds on Pauli Channel Learning without EntanglementSenrui Chen, Changhun Oh, Sisi Zhou, et al.
Science (New York, N.Y.)|September 22, 2022
Provably efficient machine learning for quantum many-body problemsHsin-Yuan Huang, Richard Kueng, Giacomo Torlai, et al.
Nature Computational Science|January 4, 2024
Challenges and opportunities in quantum machine learningM Cerezo, Guillaume Verdon, Hsin-Yuan Huang, et al.
Physical Review Letters|November 7, 2025
Classically Estimating Observables of Noiseless Quantum CircuitsArmando Angrisani, Alexander Schmidhuber, Manuel S Rudolph, et al.
Pageof 3