Experimental Quantum Stochastic Walks Simulating Associative Memory of Hopfield Neural Networks-Reference-Cited by-同舟云学术

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Experimental Quantum Stochastic Walks Simulating Associative Memory of Hopfield Neural Networks

Published:2019-02-07 Issue:2 Volume:11 Page:
ISSN:2331-7019
Container-title:Physical Review Applied
language:en
Short-container-title:Phys. Rev. Applied

Author:

Tang Hao,Feng Zhen,Wang Ying-Han,Lai Peng-Cheng,Wang Chao-Yue,Ye Zhuo-Yang,Wang Cheng-Kai,Shi Zi-Yu,Wang Tian-Yu,Chen Yuan,Gao Jun,Jin Xian-Min

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Shanghai Municipal Education Commission

National Key R&D Program of China

National Young 1000 Talents Plan

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.11.024020/fulltext

Reference44 articles.

1. Quantum machine learning

2. Quantum principal component analysis

3. Quantum Support Vector Machine for Big Data Classification

4. Entanglement-Based Machine Learning on a Quantum Computer

5. Experimental Realization of a Quantum Support Vector Machine

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1. A Novel Fractional-Order Cascade Tri-Neuron Hopfield Neural Network: Stability, Bifurcations, and Chaos;Qualitative Theory of Dynamical Systems;2024-07-09

2. Chaos and bursting patterns in two-neuron Hopfield neural network and analog implementation;Chaos, Solitons & Fractals;2024-07

3. Efficient learning of mixed-state tomography for photonic quantum walk;Science Advances;2024-03-15

4. Simulating photosynthetic energy transport on a photonic network;npj Quantum Information;2024-03-11

5. Cascade tri-neuron hopfield neural network: Dynamical analysis and analog circuit implementation;AEU - International Journal of Electronics and Communications;2024-01

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