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Supervised Learning with Quantum Computers

Schuld, Maria, Petruccione, Francesco·2018·Quantum Science and Technology

DOI 10.1007/978-3-319-96424-9

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Stochastic Gradient Descent
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Authors: Schuld, M., & Petruccione, F.
Affiliations: University of KwaZulu-Natal (ZA)
ORCID: Schuld, Maria
Petruccione, Francesco
Venue: Quantum Science and Technology
Publisher: Springer International Publishing
Published: 2018
ISSN: 2364-9054 (ISSN-L)
2364-9062
DOI: 10.1007/978-3-319-96424-9
OpenAlex: W2888774813
Cited by: 730
References: 1
Citations by year: 2026: 164 · 2025: 156 · 2024: 107 · 2023: 96 · 2022: 83 · 2021: 61 · 2020: 41 · 2019: 20 · 2018: 2
FWCI: 9.99
Type: book
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Quantum science and technology (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
Keywords: quantum machine learning, supervised learning, quantum computing hardware, quantum algorithms, quantum neural networks

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