Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning (2023)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2309.15547
Publication URI: https://arxiv.org/abs/2309.15547
Type: Preprint