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Learning to Predict Arbitrary Quantum Processes 1:55:26
Learning to Predict Arbitrary Quantum Processes
📺 Simons Institute for the Theory of Computing • 👁️ 5,656 views
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QIP2023 | Learning to predict arbitrary quantum processes (Hsin-Yuan Huang) 25:31
QIP2023 | Learning to predict arbitrary quantum processes (Hsin-Yuan Huang)
📺 QIP2023 • 👁️ 632 views
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Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA 50:24
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA
📺 Institute for Pure & Applied Mathematics (IPAM) • 👁️ 984 views
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Learning to predict arbitrary quantum processes 1:13:35
Learning to predict arbitrary quantum processes
📺 QAISG • 👁️ 183 views
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Machine Learning for Quantum Simulation - Robert Huang (June 23, 2020) 14:28
Machine Learning for Quantum Simulation - Robert Huang (June 23, 2020)
📺 Simons Foundation • 👁️ 705 views
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Machine Learning for Quantum Simulation - Giacomo Torlai (June 23, 2020) 18:49
Machine Learning for Quantum Simulation - Giacomo Torlai (June 23, 2020)
📺 Simons Foundation • 👁️ 387 views
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CUbit Seminar - November 13 2023 - Dr. John Preskill, Caltech - Learning in a quantum world 1:08:40
CUbit Seminar - November 13 2023 - Dr. John Preskill, Caltech - Learning in a quantum world
📺 CUbit • 👁️ 346 views
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Hsin-Yuan Robert Huang (Caltech) - Predicting many properties of quantum systems - May 20, 2021 1:21:06
Hsin-Yuan Robert Huang (Caltech) - Predicting many properties of quantum systems - May 20, 2021
📺 Quantum Theory Seminar • 👁️ 767 views
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Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA 1:14:09
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
📺 Institute for Pure & Applied Mathematics (IPAM) • 👁️ 2,185 views
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Robert Huang | March 22, 2022 | Provably efficient machine learning for quantum many-body problems 1:02:53
Robert Huang | March 22, 2022 | Provably efficient machine learning for quantum many-body problems
📺 Mathematical Picture Language • 👁️ 687 views
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Quantum Theory 101, Indivisible Stochastic Processes & Physics ft. Jacob Barandes | Know Time 109 3:29:15
Quantum Theory 101, Indivisible Stochastic Processes & Physics ft. Jacob Barandes | Know Time 109
📺 Know Time • 👁️ 25,768 views
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Quantum Advantage in Learning from Experiments | Qiskit Seminar Series 1:17:42
Quantum Advantage in Learning from Experiments | Qiskit Seminar Series
📺 Qiskit • 👁️ 3,949 views
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Provably Efficient Machine Learning for Quantum Many-Body Problems 42:40
Provably Efficient Machine Learning for Quantum Many-Body Problems
📺 Simons Institute for the Theory of Computing • 👁️ 2,127 views
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Exact Universal Quantum Computation: Two-Level Unitaries, Givens Rotations, and Permutations | QC 15 7:48
Exact Universal Quantum Computation: Two-Level Unitaries, Givens Rotations, and Permutations | QC 15
📺 VarPi • 👁️ 133 views
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Quantum Machine Learning Explained 5:58
Quantum Machine Learning Explained
📺 IBM Technology • 👁️ 103,538 views
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Learning To Predict Arbitrary Quantum Processes Information Guide

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QIP2023 | Learning to predict arbitrary quantum processes (Hsin-Yuan Huang) News
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Machine Learning for Quantum Simulation - Robert Huang (June 23, 2020)
Machine Learning for Quantum Simulation - Robert Huang (June 23, 2020)
Machine Learning for Quantum Simulation - Giacomo Torlai (June 23, 2020)
Machine Learning for Quantum Simulation - Giacomo Torlai (June 23, 2020)
CUbit Seminar - November 13 2023 - Dr. John Preskill, Caltech - Learning in a quantum world
CUbit Seminar - November 13 2023 - Dr. John Preskill, Caltech - Learning in a quantum world
Hsin-Yuan Robert Huang (Caltech) - Predicting many properties of quantum systems - May 20, 2021
Hsin-Yuan Robert Huang (Caltech) - Predicting many properties of quantum systems - May 20, 2021
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
Robert Huang | March 22, 2022 | Provably efficient machine learning for quantum many-body problems
Robert Huang | March 22, 2022 | Provably efficient machine learning for quantum many-body problems
Quantum Theory 101, Indivisible Stochastic Processes & Physics ft. Jacob Barandes | Know Time 109
Quantum Theory 101, Indivisible Stochastic Processes & Physics ft. Jacob Barandes | Know Time 109
Quantum Advantage in Learning from Experiments | Qiskit Seminar Series
Quantum Advantage in Learning from Experiments | Qiskit Seminar Series
Provably Efficient Machine Learning for Quantum Many-Body Problems
Provably Efficient Machine Learning for Quantum Many-Body Problems
Exact Universal Quantum Computation: Two-Level Unitaries, Givens Rotations, and Permutations | QC 15
Exact Universal Quantum Computation: Two-Level Unitaries, Givens Rotations, and Permutations | QC 15
Quantum Machine Learning Explained
Quantum Machine Learning Explained

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Last Updated: August 18, 2026

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