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01/30/2023
Improved machine learning algorithm for predicting ground state properties
Finding the ground state of a quantum many-body system is a fundamental ...
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10/26/2022
Learning to predict arbitrary quantum processes
We present an efficient machine learning (ML) algorithm for predicting a...
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04/28/2022
Foundations for learning from noisy quantum experiments
Understanding what can be learned from experiments is central to scienti...
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12/01/2021
Quantum advantage in learning from experiments
Quantum technology has the potential to revolutionize how we acquire and...
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06/23/2021
Provably efficient machine learning for quantum many-body problems
Classical machine learning (ML) provides a potentially powerful approach...
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03/12/2021
Efficient estimation of Pauli observables by derandomization
We consider the problem of jointly estimating expectation values of many...
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01/07/2021
Information-theoretic bounds on quantum advantage in machine learning
We study the complexity of training classical and quantum machine learni...
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07/13/2020
Mixed-state entanglement from local randomized measurements
We propose a method for detecting bipartite entanglement in a many-body ...
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02/18/2020