Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
Author:
Affiliation:
1. KCLIP, CTR, Department of Engineering, King’s College London, London, U.K.
Funder
H2020 European Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/9686799/09749820.pdf?arnumber=9749820
Reference33 articles.
1. Cyclical Learning Rates for Training Neural Networks
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5. ImageNet classification with deep convolutional neural networks
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