Concise Guide to Quantum Machine Learning

DOI10.1007/978-981-19-6897-6zbMATH Open1530.68003MaRDI QIDQ6072969

Davide Pastorello

Publication date: 14 October 2023

Published in: Machine Learning: Foundations, Methodologies, and Applications (Search for Journal in Brave)

zbMATH Keywords

quantum dynamicsquantum systemsquantum Fourier transformGrover's search algorithmquantum neural networksquantum machine learningquantum generative adversarial networksquantum autoencoderquantum Boltzmann machineHamiltonian simulationquantum clusteringquantum classificationquantum associative memoryadiabatic pattern recognitionquantum annealerquantum divisive clusteringquantum k-meansquantum k-nearest neighboursquantum support vector machinesSWAP test

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68) Pattern recognition, speech recognition (68T10) Quantum algorithms and complexity in the theory of computing (68Q12)

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