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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
Theodoridis, S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801522-3.00005-7 · Cited by 44

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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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Supervised Learning with Quantum Computers

Overview

Integrity signals

Verification

Claims the paper makes

Citations

Cites

Cited by

Related

Metadata

Record

About these checks