Hsin-Yuan Huang

ORCID

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Venues

Nature communications

Nature

Science (New York, N.Y.)

This page only lists publications with an associated author ORCID identifier.

Publications

Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Author Correction: Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Author Correction: Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Sitan Chen, Jordan S Cotler, Hsin-Yuan Huang, Jerry Li
Publisher Correction: The complexity of NISQ. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Sitan Chen, Jordan S Cotler, Hsin-Yuan Huang, Jerry Li
Publisher Correction: The complexity of NISQ. Nature communications 15 (1) (2024)
Laura Lewis, Hsin-Yuan Huang, Viet T Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. Nature communications 15 (1) (2024)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Sitan Chen, Jordan S Cotler, Hsin-Yuan Huang, Jerry Li
The complexity of NISQ. Nature communications 14 (1) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, Hannes Pichler, Fernando G S L Brandão, Soonwon Choi, Manuel Endres
Preparing random states and benchmarking with many-body quantum chaos. Nature 613 (7944) (2023)
Matthias C Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T Sornborger, Lukasz Cincio, Patrick J Coles, Zoë Holmes
Out-of-distribution generalization for learning quantum dynamics. Nature communications 14 (1) (2023)
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V Albert, John Preskill
Provably efficient machine learning for quantum many-body problems. Science (New York, N.Y.) 377 (6613) (2022)
Matthias C Caro, Hsin-Yuan Huang, M Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, Patrick J Coles
Generalization in quantum machine learning from few training data. Nature communications 13 (1) (2022)
Hsin-Yuan Huang, Michael Broughton, Jordan S Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R McClean
Quantum advantage in learning from experiments. Science (New York, N.Y.) 376 (6598) (2022)

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Publication Activity (10 Years)

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Hsin-Yuan Huang