most citedUniversal approximation property of Banach space-valued random feature models including random neural networks

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quant-ph2025

Approximation rates of quantum neural networks for periodic functions via Jackson's inequality

Ariel Neufeld, Philipp Schmocker, Viet Khoa Tran

Quantum neural networks (QNNs) are an analog of classical neural networks in the world of quantum computing, which are represented by a unitary matrix with trainable parameters. In…