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05/04/2023
Trainability barriers and opportunities in quantum generative modeling
Quantum generative models, in providing inherently efficient sampling st...
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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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08/23/2022
Exponential concentration and untrainability in quantum kernel methods
Kernel methods in Quantum Machine Learning (QML) have recently gained si...
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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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03/02/2022
The quantum low-rank approximation problem
We consider a quantum version of the famous low-rank approximation probl...
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04/12/2021
Equivalence of quantum barren plateaus to cost concentration and narrow gorges
Optimizing parameterized quantum circuits (PQCs) is the leading approach...
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02/08/2021
Long-time simulations with high fidelity on quantum hardware
Moderate-size quantum computers are now publicly accessible over the clo...
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01/06/2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Parameterized quantum circuits serve as ansätze for solving variational ...
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07/09/2020
