Who Cited It

Quantum machine learning

2017 · Nature · 4,720 citations · 8 from inside this corpus

Jacob Biamonte, Péter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd

No abstract in the source record.

Quantum machine learning (2017)Quantum machine learningThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…The perceptron: A probabilistic model for information storage and organization in the bra… (1958)The perceptron: A probabilist…The Nature of Statistical Learning Theory (2000)The Nature of Statistical Lea…Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum C… (1997)Polynomial-Time Algorithms fo…Quantum Algorithm for Linear Systems of Equations (2009)Quantum Algorithm for Linear …Universal Quantum Simulators (1996)Universal Quantum SimulatorsQuantum Support Vector Machine for Big Data Classification (2014)Quantum Support Vector Machin…A Quantum Approximate Optimization Algorithm (2014)A Quantum Approximate Optimiz…Quantum principal component analysis (2014)Quantum principal component a…Quantum Computing in the NISQ era and beyond (2018)Quantum Computing in the NISQ…Variational quantum algorithms (2021)Variational quantum algorithmsSupervised learning with quantum-enhanced feature spaces (2019)Supervised learning with quan…Barren plateaus in quantum neural network training landscapes (2018)Barren plateaus in quantum ne…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…Quantum convolutional neural networks (2019)Quantum convolutional neural …Integrated photonic quantum technologies (2019)Integrated photonic quantum t…
17 of 17 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
The Nature of Statistical Learning Theory199539,409
The perceptron: A probabilistic model for information storage and organization in the bra…195811,965
The Nature of Statistical Learning Theory200010,734
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum C…19976,013
Quantum Algorithm for Linear Systems of Equations20093,375
Universal Quantum Simulators19963,153
Quantum Support Vector Machine for Big Data Classification20142,010
A Quantum Approximate Optimization Algorithm20141,815
Quantum principal component analysis20141,414

What cites it, inside the corpus

PaperYearCited
Quantum Computing in the NISQ era and beyond20188,662
Variational quantum algorithms20213,226
Supervised learning with quantum-enhanced feature spaces20192,548
Barren plateaus in quantum neural network training landscapes20182,289
A quantum engineer's guide to superconducting qubits20191,988
Noisy intermediate-scale quantum algorithms20221,770
Quantum convolutional neural networks20191,497
Integrated photonic quantum technologies20191,453

Links

DOI · Open access copy · OpenAlex record

Topics

Quantum Computing Algorithms and ArchitectureComputer Science
Quantum Information and CryptographyComputer Science
Neural Networks and Reservoir ComputingComputer Science

Is this record sound?

complete

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

  • supports6 author record(s) attached.
  • supports130 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 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…