Expressibility-Enhancing Strategies for Quantum Neural Networks
Expressibility-Enhancing Strategies for Quantum Neural Networks
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Quantum neural networks (QNNs), represented by parameterized quantum circuits, can be trained in the paradigm of supervised learning to map input data to predictions. Much work has focused on theoretically analyzing the expressive power of QNNs. However, in almost all literature, QNNs' expressive power is numerically validated using only simple uni...
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Expressibility-Enhancing Strategies for Quantum Neural Networks
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TN_cdi_proquest_journals_2739576702
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2739576702
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2331-8422
