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Cited by 683Quantum Computing Algorithms and ArchitectureNeural Networks and ApplicationsQuantum Information and Cryptography

The quest for a Quantum Neural Network

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Schuld, Maria, Sinayskiy, Ilya, Petruccione, Francesco·2014·Quantum Information Processing
DOI 10.1007/s11128-014-0809-8
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  • South African researchers have produced noteworthy advances in quantum random walks, quantum control, open quantum systems, and pioneering work on quantum neural networks, quantum machine learning, and quantum processes in the brain.

    “has produced noteworthy advances in quantum random walks, 38,39 quantum control, 40 open quantum systems, 41 and pioneering work on quantum neural networks, 42 quantum machine learning, 43 and quantum processes in the brain.44”

    From Toward a quantum future for South Africa (2021) · cites this paper as [42]

  • A key challenge to overcome is the clash between the nonlinear, dissipative dynamics of neural network computing and the linear, reversible dynamics of quantum computing.

    “A key challenge to overcome is the clash between the nonlinear, dissipative dynamics of neural network computing and the linear, reversible dynamics of quantum computing.24”

    From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [24]

  • Making individual neurons reversible and then quantum reversible (unitary) resolves the classical-quantum clash.

    “We make the individual neurons reversible and then naturally generalise them to being quantum reversible (unitary).This resolves the classical-quantum clash mentioned above from ref. 24.”

    From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [24]

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Cited by

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Authors
Schuld, M., Sinayskiy, I., & Petruccione, F.
Affiliations
  • University of KwaZulu-Natal (ZA)
  • National Institute for Theoretical Physics (ZA)
Corresponding author
Schuld, Maria
ORCID
Venue
Quantum Information Processing
Publisher
Springer Science and Business Media LLC
Published
2014-08-26
Volume
13
Issue
11
Pages
2567-2586
ISSN
  • 1570-0755 (ISSN-L)
  • 1573-1332
DOI
10.1007/s11128-014-0809-8
OpenAlex
W1990514347
Cited by
671
References
84
Citations by year
2026: 83 · 2025: 131 · 2024: 72 · 2023: 80 · 2022: 51 · 2021: 83 · 2020: 49 · 2019: 41 · 2018: 38 · 2017: 17 · 2016: 15 · 2015: 6 · 2014: 5
FWCI
14.29
Type
journal article
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Quantum Information Processing (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
Keywords
quantum neural networks, Hopfield neural network, associative memory, quantum computing, artificial neural networks, nonlinear dynamics, unitary dynamics

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