article · International Journal of Quantum Information · 2019

Continuous variable quantum perceptron

F. Benatti, S. Mancini, S. Mangini

Cited by 8Open access

Abstract

We present a model of Continuous Variable Quantum Perceptron (CVQP), also referred to as neuron in the following, whose architecture implements a classical perceptron. The necessary nonlinearity is obtained via measuring the output qubit and using the measurement outcome as input to an activation function. The latter is chosen to be the so-called Rectified linear unit (ReLu) activation function by virtue of its practical feasibility and the advantages it provides in learning tasks. The encoding of classical data into realistic finitely squeezed states and the use of superposed (entangled) input states for specific binary problems are discussed.

Cite this paper

APA 7

Benatti, F., Mancini, S., & Mangini, S. (2019). Continuous variable quantum perceptron. International Journal of Quantum Information, 17(08), 1941009. https://doi.org/10.1142/s0219749919410090

MLA 9

Benatti, F., et al. “Continuous variable quantum perceptron.” International Journal of Quantum Information, vol. 17, no. 08, 2019, p. 1941009, https://doi.org/10.1142/s0219749919410090.

Chicago

Benatti, F., S. Mancini, and S. Mangini. 2019. “Continuous variable quantum perceptron.” International Journal of Quantum Information 17 (08): 1941009. https://doi.org/10.1142/s0219749919410090.

Harvard

Benatti, F., Mancini, S. and Mangini, S. (2019) ‘Continuous variable quantum perceptron’, International Journal of Quantum Information, 17(08), p. 1941009. Available at: https://doi.org/10.1142/s0219749919410090.

BibTeX

@article{benatti2019continuous,
  title = {{Continuous variable quantum perceptron}},
  author = {Benatti, F. and Mancini, S. and Mangini, S.},
  journal = {International Journal of Quantum Information},
  volume = {17},
  number = {08},
  pages = {1941009},
  year = {2019},
  doi = {10.1142/s0219749919410090}
}

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