Quantum learning with noise and decoherence: a robust quantum neural network-Reference-Cited by-同舟云学术

Quantum learning with noise and decoherence: a robust quantum neural network

Published:2020-01-31 Issue:1 Volume:2 Page:
ISSN:2524-4906
Container-title:Quantum Machine Intelligence
language:en
Short-container-title:Quantum Mach. Intell.

Author:

Nguyen Nam H.,Behrman Elizabeth C.^ORCID,Steck James E.

Publisher

Springer Science and Business Media LLC

Subject

General Arts and Humanities

Link

http://link.springer.com/content/pdf/10.1007/s42484-020-00013-x.pdf

Reference53 articles.

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3. Allauddin R, Gaddam K, Boehmer S, Behrman EC, Steck JE (2008) Quantum simultaneous recurrent networks for content addressable memory. In: Nedjah N, dos Santos Coelho L, de Macedo Mourelle L (eds) Quantum-Inspired Intelligent Systems. Springer, Verlag

4. Bang J, Dutta A, Lee S-W, Kim J (2019) Optimal usage of quantum random access memory in quantum machine learning. Phys Rev A 99:012326

5. Behrman EC, Steck JE (2013) Multiqubit entanglement of a general input state. Quantum Inf. Comput. 13:36–53

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