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John Preskill

Showing results (11-20 of 20) with videos related to

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Science (New York, N.Y.)|June 2, 2012
Quantum algorithms for quantum field theoriesStephen P Jordan, Keith S M Lee, John Preskill
Physical Review Letters|May 19, 2018
Three-Dimensional Color Code Thresholds via Statistical-Mechanical MappingAleksander Kubica, Michael E Beverland, Fernando Brandão, 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 Communications|February 26, 2024
Author Correction: Improved machine learning algorithm for predicting ground state propertiesLaura Lewis, Hsin-Yuan Huang, Viet T Tran, et al.
Science (New York, N.Y.)|June 9, 2022
Quantum advantage in learning from experimentsHsin-Yuan Huang, Michael Broughton, Jordan Cotler, et al.
Physical Review Letters|December 1, 2020
Mixed-State Entanglement from Local Randomized MeasurementsAndreas Elben, Richard Kueng, Hsin-Yuan Robert Huang, et al.
Physical Review Letters|December 23, 2024
Entanglement-Enabled Advantage for Learning a Bosonic Random Displacement ChannelChanghun Oh, Senrui Chen, Yat Wong, et al.
Science (New York, N.Y.)|September 25, 2025
Quantum learning advantage on a scalable photonic platformZheng-Hao Liu, Romain Brunel, Emil E B Østergaard, et al.
Nature Communications|April 7, 2023
Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrySeunghoon Lee, Joonho Lee, Huanchen Zhai, et al.
Nature|February 26, 2025
Hardware-efficient quantum error correction via concatenated bosonic qubitsHarald Putterman, Kyungjoo Noh, Connor T Hann, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Science (New York, N.Y.)|June 2, 2012
Quantum algorithms for quantum field theoriesStephen P Jordan, Keith S M Lee, John Preskill
Physical Review Letters|May 19, 2018
Three-Dimensional Color Code Thresholds via Statistical-Mechanical MappingAleksander Kubica, Michael E Beverland, Fernando Brandão, 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 Communications|February 26, 2024
Author Correction: Improved machine learning algorithm for predicting ground state propertiesLaura Lewis, Hsin-Yuan Huang, Viet T Tran, et al.
Science (New York, N.Y.)|June 9, 2022
Quantum advantage in learning from experimentsHsin-Yuan Huang, Michael Broughton, Jordan Cotler, et al.
Physical Review Letters|December 1, 2020
Mixed-State Entanglement from Local Randomized MeasurementsAndreas Elben, Richard Kueng, Hsin-Yuan Robert Huang, et al.
Physical Review Letters|December 23, 2024
Entanglement-Enabled Advantage for Learning a Bosonic Random Displacement ChannelChanghun Oh, Senrui Chen, Yat Wong, et al.
Science (New York, N.Y.)|September 25, 2025
Quantum learning advantage on a scalable photonic platformZheng-Hao Liu, Romain Brunel, Emil E B Østergaard, et al.
Nature Communications|April 7, 2023
Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrySeunghoon Lee, Joonho Lee, Huanchen Zhai, et al.
Nature|February 26, 2025
Hardware-efficient quantum error correction via concatenated bosonic qubitsHarald Putterman, Kyungjoo Noh, Connor T Hann, et al.
Pageof 2