A conditional generative model based on quantum circuit and classical optimization

DOI10.1007/s10773-019-04005-xzbMath1422.81076OpenAlexW2916195305WikidataQ128350349 ScholiaQ128350349MaRDI QIDQ2323723

Shenggen Zheng, Haozhen Situ, Zhimin He, Lvzhou Li, Zhiming Huang

Publication date: 3 September 2019

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10773-019-04005-x

zbMATH Keywords

quantum machine learningconditional generatorquantum generative model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68)

Related Items (3)

Conditional quantum circuit Born machine based on a hybrid quantum-classical framework ⋮ Quantum speedup for pool-based active learning ⋮ Models in quantum computing: a systematic review

Cites Work

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• A quantum-implementable neural network model
• Quantum-enhanced feature selection with forward selection and backward elimination
• Quantum decision tree classifier
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• Quantum artificial neural network architectures and components

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