Potential in Quantum Machine Learning for Real-World Problems
Author:
Affiliation:
1. RVS College of Engineering and Tech. & Research Scholar IUKL,Malysia
2. IUKL,Faculty of Business Information and Human Science,Malysia
3. IUKL,Malysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10578345/10578346/10578519.pdf?arnumber=10578519
Reference16 articles.
1. Quantum and classical machine learning for the classification of non-small-cell lung cancer patients
2. Design of an LSTM Cell on a Quantum Hardware
3. Transfer learning in hybrid classical-quantum neural networks
4. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms;Xiao,2017
5. Implementing Any Nonlinear Quantum Neuron
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