Quantum Support Vector Machine for Big Data Classification

Patrick Rebentrost; Masoud Mohseni; Seth Lloyd

doi:https://doi.org/10.1103/physrevlett.113.130503

Quantum Support Vector Machine for Big Data Classification

2014 · Physical Review Letters · 2,010 citations · 8 from inside this corpus

Patrick Rebentrost, Masoud Mohseni, Seth Lloyd

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

18 of 18 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Quantum machine learning→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Supervised learning with quantum-enhanced feature spaces→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
A quantum engineer's guide to superconducting qubits→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Quantum Machine Learning in Feature Hilbert Spaces→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Quantum circuit learning→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Adiabatic quantum computation→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Quantum Chemistry in the Age of Quantum Computing→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Quantum principal component analysis→Quantum Support Vector Machine for Big Data ClassificationLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Support-vector networksLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Machine learning a probabilistic perspectiveLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Information theory, inference, and learning algorithmsLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Proceedings of the 25th international conference on Machine learningLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Pattern recognition and machine learningLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Kernel methods in machine learningLegacy edge — source detail unavailable
Quantum Support Vector Machine for Big Data Classification→Quantum principal component analysisLegacy edge — source detail unavailable
Quantum principal component analysis→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
Quantum principal component analysis→Machine learning a probabilistic perspectiveLegacy edge — source detail unavailable
An introduction to kernel-based learning algorithms→Support-vector networksLegacy edge — source detail unavailable
Kernel methods in machine learning→Support-vector networksLegacy edge — source detail unavailable
Quantum machine learning→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
Quantum machine learning→Quantum principal component analysisLegacy edge — source detail unavailable
Adiabatic quantum computation→Quantum principal component analysisLegacy edge — source detail unavailable
Quantum circuit learning→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
Quantum circuit learning→Pattern recognition and machine learningLegacy edge — source detail unavailable
Quantum Machine Learning in Feature Hilbert Spaces→Kernel methods in machine learningLegacy edge — source detail unavailable
Supervised learning with quantum-enhanced feature spaces→Quantum machine learningLegacy edge — source detail unavailable
Supervised learning with quantum-enhanced feature spaces→Quantum circuit learningLegacy edge — source detail unavailable
Supervised learning with quantum-enhanced feature spaces→Quantum Machine Learning in Feature Hilbert SpacesLegacy edge — source detail unavailable
Quantum Chemistry in the Age of Quantum Computing→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
Quantum Chemistry in the Age of Quantum Computing→Quantum principal component analysisLegacy edge — source detail unavailable
Quantum Chemistry in the Age of Quantum Computing→Adiabatic quantum computationLegacy edge — source detail unavailable
A quantum engineer's guide to superconducting qubits→Quantum Algorithm for Linear Systems of EquationsLegacy edge — source detail unavailable
A quantum engineer's guide to superconducting qubits→Quantum machine learningLegacy edge — source detail unavailable
A quantum engineer's guide to superconducting qubits→Supervised learning with quantum-enhanced feature spacesLegacy edge — source detail unavailable
A quantum engineer's guide to superconducting qubits→Information theory, inference, and learning algorithmsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Support-vector networks	1995	41,028
Least Squares Support Vector Machine Classifiers	1999	9,429
Machine learning a probabilistic perspective	2012	9,324
Information theory, inference, and learning algorithms	2004	6,580
Proceedings of the 25th international conference on Machine learning	2008	5,551
An introduction to kernel-based learning algorithms	2001	3,498
Quantum Algorithm for Linear Systems of Equations	2009	3,375
Pattern recognition and machine learning	2007	2,691
Kernel methods in machine learning	2008	1,618
Quantum principal component analysis	2014	1,414

What cites it, inside the corpus

Paper	Year	Cited
Quantum machine learning	2017	4,720
Supervised learning with quantum-enhanced feature spaces	2019	2,548
A quantum engineer's guide to superconducting qubits	2019	1,988
Quantum Machine Learning in Feature Hilbert Spaces	2019	1,799
Quantum circuit learning	2018	1,667
Adiabatic quantum computation	2018	1,597
Quantum Chemistry in the Age of Quantum Computing	2019	1,484
Quantum principal component analysis	2014	1,414

Links

Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record

Topics

Quantum Computing Algorithms and Architecture	Computer Science
Quantum Information and Cryptography	Computer Science
Neural Networks and Applications	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports31 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…