Who Cited It

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.

Quantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…Support-vector networks (1995)Support-vector networksLeast Squares Support Vector Machine Classifiers (1999)Least Squares Support Vector …Machine learning a probabilistic perspective (2012)Machine learning a probabilis…Information theory, inference, and learning algorithms (2004)Information theory, inference…Proceedings of the 25th international conference on Machine learning (2008)Proceedings of the 25th inter…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Quantum Algorithm for Linear Systems of Equations (2009)Quantum Algorithm for Linear …Pattern recognition and machine learning (2007)Pattern recognition and machi…Kernel methods in machine learning (2008)Kernel methods in machine lea…Quantum principal component analysis (2014)Quantum principal component a…Quantum machine learning (2017)Quantum machine learningSupervised learning with quantum-enhanced feature spaces (2019)Supervised learning with quan…A quantum engineer's guide to superconducting qubits (2019)A quantum engineer's guide to…Quantum Machine Learning in Feature Hilbert Spaces (2019)Quantum Machine Learning in F…Quantum circuit learning (2018)Quantum circuit learningAdiabatic quantum computation (2018)Adiabatic quantum computationQuantum Chemistry in the Age of Quantum Computing (2019)Quantum Chemistry in the Age …Quantum principal component analysis (2014)Quantum principal component a…
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

What this paper cites, inside the corpus

PaperYearCited
Support-vector networks199541,028
Least Squares Support Vector Machine Classifiers19999,429
Machine learning a probabilistic perspective20129,324
Information theory, inference, and learning algorithms20046,580
Proceedings of the 25th international conference on Machine learning20085,551
An introduction to kernel-based learning algorithms20013,498
Quantum Algorithm for Linear Systems of Equations20093,375
Pattern recognition and machine learning20072,691
Kernel methods in machine learning20081,618
Quantum principal component analysis20141,414

What cites it, inside the corpus

PaperYearCited
Quantum machine learning20174,720
Supervised learning with quantum-enhanced feature spaces20192,548
A quantum engineer's guide to superconducting qubits20191,988
Quantum Machine Learning in Feature Hilbert Spaces20191,799
Quantum circuit learning20181,667
Adiabatic quantum computation20181,597
Quantum Chemistry in the Age of Quantum Computing20191,484
Quantum principal component analysis20141,414

Links

DOI · Open access copy · OpenAlex record

Topics

Quantum Computing Algorithms and ArchitectureComputer Science
Quantum Information and CryptographyComputer Science
Neural Networks and ApplicationsComputer 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…