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09/20/2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning
Quantum machine learning is arguably one of the most explored applicatio...
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06/23/2022
Classical surrogates for quantum learning models
The advent of noisy intermediate-scale quantum computers has put the sea...
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05/12/2022
Exploiting symmetry in variational quantum machine learning
Variational quantum machine learning is an extensively studied applicati...
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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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05/05/2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers
Kernel methods are a cornerstone of classical machine learning. The idea...
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08/19/2020
