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quant-ph2023★ 5 cited
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs
Lukas Gonon, Antoine Jacquier
Universal approximation theorems are the foundations of classical neural networks, providing theoretical guarantees that the latter are able to approximate maps of interest. Recent…
quant-ph2021
A Quantum Generative Adversarial Network for distributions
Amine Assouel, Antoine Jacquier, Alexei Kondratyev
Generative Adversarial Networks are becoming a fundamental tool in Machine Learning, in particular in the context of improving the stability of deep neural networks. At the same ti…