Quantum convolutional neural networks with interaction layers for classification of classical data-Reference-Cited by-同舟云学术

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Quantum convolutional neural networks with interaction layers for classification of classical data

Published:2024-02-21 Issue:1 Volume:6 Page:
ISSN:2524-4906
Container-title:Quantum Machine Intelligence
language:en
Short-container-title:Quantum Mach. Intell.

Author:

Mahmud Jishnu,Mashtura Raisa,Fattah Shaikh Anowarul,Saquib Mohammad

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42484-024-00145-4.pdf

Reference32 articles.

1. Araujo IF, Park DK, Petruccione F et al (2021) A divide-and-conquer algorithm for quantum state preparation. Sci Rep 11(1):1–12. https://doi.org/10.1038/s41598-021-85474-1

2. Arute F, Arya K, Babbush R et al (2019) Quantum supremacy using a programmable superconducting processor. Nature 574(7779):505–510. https://doi.org/10.1038/s41586-019-1666-5

3. Ayoade O, Rivas P, Orduz J (2022) Artificial intelligence computing at the quantum level. Data 7(3):28

4. Bergholm V, Izaac J, Schuld M et al (2018) Pennylane: automatic differentiation of hybrid quantum-classical computations. arXiv preprint arXiv:1811.04968https://doi.org/10.48550/arXiv.1811.04968

5. Boyd SP, Vandenberghe L (2004) Convex optimization. Cambridge University Press

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