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06/08/2023
Classical Verification of Quantum Learning
Quantum data access and quantum processing can make certain classically ...
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03/22/2023
The power and limitations of learning quantum dynamics incoherently
Quantum process learning is emerging as an important tool to study quant...
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12/08/2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Learning about physical systems from quantum-enhanced experiments, relyi...
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04/21/2022
Dynamical simulation via quantum machine learning with provable generalization
Much attention has been paid to dynamical simulation and quantum machine...
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04/21/2022
Out-of-distribution generalization for learning quantum dynamics
Generalization bounds are a critical tool to assess the training data re...
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11/09/2021
Generalization in quantum machine learning from few training data
Modern quantum machine learning (QML) methods involve variationally opti...
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06/07/2021
Encoding-dependent generalization bounds for parametrized quantum circuits
A large body of recent work has begun to explore the potential of parame...
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06/02/2021
Undecidability of Learnability
Machine learning researchers and practitioners steadily enlarge the mult...
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06/10/2020
Binary Classification with Classical Instances and Quantum Labels
In classical statistical learning theory, one of the most well studied p...
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02/04/2020
Pseudo-dimension of quantum circuits
We characterize the expressive power of quantum circuits with the pseudo...
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02/23/2019
