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03/23/2023
Generalization with quantum geometry for learning unitaries
Generalization is the ability of quantum machine learning models to make...
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11/02/2022
Faster variational quantum algorithms with quantum kernel-based surrogate models
We present a new optimization method for small-to-intermediate scale var...
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08/02/2021
Large-scale quantum machine learning
Quantum computers promise to enhance machine learning for practical appl...
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04/29/2021
Optimal training of variational quantum algorithms without barren plateaus
Variational quantum algorithms (VQAs) promise efficient use of near-term...
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02/02/2021
Capacity and quantum geometry of parametrized quantum circuits
To harness the potential of noisy intermediate-scale quantum devices, it...
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09/16/2020
