An introduction to quantum machine learning: from quantum logic to quantum deep learning-Reference-Cited by-同舟云学术

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An introduction to quantum machine learning: from quantum logic to quantum deep learning

Published:2021-11-15 Issue:2 Volume:3 Page:
ISSN:2524-4906
Container-title:Quantum Machine Intelligence
language:en
Short-container-title:Quantum Mach. Intell.

Author:

Alchieri Leonardo,Badalotti Davide,Bonardi Pietro,Bianco Simone^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s42484-021-00056-8.pdf

Reference114 articles.

1. Aaronson S (2007) The learnability of quantum states. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463(2088):3089–3114. https://doi.org/10.1098/rspa.2007.0113

2. Acampora G, Schiattarella R (2021) Deep neural networks for quantum circuit mapping. Neural Comput Appl:1–21

3. Aerts D, Czachor M (2004) Quantum aspects of semantic analysis and symbolic artificial intelligence. J Phys A Math Gen 37(12):L123–L132. https://doi.org/10.1088/0305-4470/37/12/l01

4. Aleksandrowicz G, Alexander T, Barkoutsos P, Bello L, Ben-Haim Y, Bucher D, Cabrera-Hernández F J, Carballo-Franquis J, Chen A, Chen C-F et al (2019) Qiskit: An open-source framework for quantum computing. Accessed on: May https://doi.org/10.5281/zenodo.2562111

5. Allcock J, Hsieh C-Y, Kerenidis I, Zhang S (2020) Quantum algorithms for feedforward neural networks. ACM Trans Quantum Comput 1(1):1–24

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