The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Supervised Learning with Quantum Computers
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Theodoridis, S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801522-3.00005-7 · Cited by 44
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Machine learning and the physical sciences
Carleo, G., Cirac, J. I., Cranmer, K. S., Daudet, L., Schuld, M., Tishby, N., Vogt-Maranto, L., & Zdeborová, L. (2019) · Reviews of Modern Physics · doi:10.1103/revmodphys.91.045002 · Cited by 2,640
Self-citationNoisy intermediate-scale quantum algorithms
Bharti, K., Cervera-Lierta, A., Kyaw, T. H., Haug, T., Alperin-Lea, S., Anand, A., Degroote, M., Heimonen, H., Kottmann, J. S., Menke, T., et al. (2022) · Reviews of Modern Physics · doi:10.1103/revmodphys.94.015004 · Cited by 2,231
The power of quantum neural networks
Abbas, A., Sutter, D., Zoufal, C., Lucchi, A., Figalli, A., & Woerner, S. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00084-1 · Cited by 1,082
Circuit-centric quantum classifiers
Schuld, M., Bocharov, A., Svore, K. M., & Wiebe, N. (2020) · Physical Review A · doi:10.1103/physreva.101.032308 · Cited by 1,057
Self-citationQuantum computing with neutral atoms
Henriet, L., Beguin, L., Signoles, A., Lahaye, T., Browaeys, A., Reymond, G.-O., & Jurczak, C. (2020) · Quantum · doi:10.22331/q-2020-09-21-327 · Cited by 550
Metadata
- Authors
- Schuld, M., & Petruccione, F.
- Affiliations
- University of KwaZulu-Natal (ZA)
- Venue
- Quantum Science and Technology
- Publisher
- Springer International Publishing
- Published
- 2018
- ISSN
- 2364-9054 (ISSN-L)
- 2364-9062
- 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
- 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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