Who Cited It

Supervised learning with quantum-enhanced feature spaces

2019 · Nature · 2,548 citations · 5 from inside this corpus

Vojtěch Havlíček, Antonio Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, Jay Gambetta

No abstract in the source record.

Supervised learning with quantum-enhanced feature spaces (2019)Supervised learning with quan…A Tutorial on Support Vector Machines for Pattern Recognition (1998)A Tutorial on Support Vector …A training algorithm for optimal margin classifiers (1992)A training algorithm for opti…The Nature of Statistical Learning Theory (2000)The Nature of Statistical Lea…Quantum Computing in the NISQ era and beyond (2018)Quantum Computing in the NISQ…Quantum machine learning (2017)Quantum machine learningHardware-efficient variational quantum eigensolver for small molecules and quantum magnets (2017)Hardware-efficient variationa…Quantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…Quantum Machine Learning in Feature Hilbert Spaces (2019)Quantum Machine Learning in F…Quantum circuit learning (2018)Quantum circuit learningError Mitigation for Short-Depth Quantum Circuits (2017)Error Mitigation for Short-De…Variational quantum algorithms (2021)Variational quantum algorithmsCircuit quantum electrodynamics (2021)Circuit quantum electrodynami…A quantum engineer's guide to superconducting qubits (2019)A quantum engineer's guide to…Noisy intermediate-scale quantum algorithms (2022)Noisy intermediate-scale quan…Superconducting Qubits: Current State of Play (2019)Superconducting Qubits: Curre…
15 of 15 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
A Tutorial on Support Vector Machines for Pattern Recognition199816,488
A training algorithm for optimal margin classifiers199211,664
The Nature of Statistical Learning Theory200010,734
Quantum Computing in the NISQ era and beyond20188,662
Quantum machine learning20174,720
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets20173,128
Quantum Support Vector Machine for Big Data Classification20142,010
Quantum Machine Learning in Feature Hilbert Spaces20191,799
Quantum circuit learning20181,667
Error Mitigation for Short-Depth Quantum Circuits20171,455

What cites it, inside the corpus

PaperYearCited
Variational quantum algorithms20213,226
Circuit quantum electrodynamics20211,990
A quantum engineer's guide to superconducting qubits20191,988
Noisy intermediate-scale quantum algorithms20221,770
Superconducting Qubits: Current State of Play20191,467

Links

DOI · Open access copy · OpenAlex record

Topics

Quantum Computing Algorithms and ArchitectureComputer Science
Quantum Information and CryptographyComputer Science
Quantum-Dot Cellular AutomataComputer Science

Is this record sound?

complete

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

  • supports7 author record(s) attached.
  • supports47 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…