Quantum Neural Networks Achieving Quantum Algorithms

Delphine Nicolay; Timoteo Carletti

doi:10.1007/978-3-319-78658-2_1

Quantum Neural Networks Achieving Quantum Algorithms

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Résumé

This paper explores the possibility to construct quantum algorithms by means of neural networks endowed with quantum gates evolved to achieve prescribed goals. First tentatives are performed on the well known Deutsch and Deutsch-Jozsa problems. Results are promising as solutions are detected for different sizes and initializations of the problems using a standard evolutionary learning process. This approach is then used to design quantum operators by combining simple quantum operators belonging to a predefined set.

langue originale	Anglais
titre	Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers
rédacteurs en chef	Marcello Pelillo, Irene Poli, Debora Slanzi, Roberto Serra, Marco Villani, Andrea Roli
Editeur	Springer
Pages	3-15
Nombre de pages	13
Volume	830
ISBN (Electronique)	978-3-319-78658-2
ISBN (imprimé)	978-3-319-78657-5
Les DOIs	https://doi.org/10.1007/978-3-319-78658-2_1
Etat de la publication	Publié - 2 mai 2018

Série de publications

Nom	Communications in Computer and Information Science
Volume	830
ISSN (imprimé)	1865-0929

Accès au document

10.1007/978-3-319-78658-2_1

AdvArtifLifeEvolutComput_830_2018pp3Version finale publiée, 680 KB

https://www.springer.com/gp/book/9783319786575

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Link to publication in Scopus

Plateforme Technologique Calcul Intensif
Benoît Champagne (!!Manager)
Plateforme technologique Calcul intensif
Equipement/installations: Plateforme technolgique

Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2017)
Delphine Nicolay (Orateur)
19 sept. 2017 → 21 sept. 2017
Activité: Participation ou organisation d'un événement › Participation à un atelier/workshop, un séminaire, un cours

Contient cette citation

Nicolay, D., & Carletti, T. (2018). Quantum Neural Networks Achieving Quantum Algorithms. Dans M. Pelillo, I. Poli, D. Slanzi, R. Serra, M. Villani, & A. Roli (eds.), Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers (Vol 830, p. 3-15). (Communications in Computer and Information Science; Vol 830). Springer. https://doi.org/10.1007/978-3-319-78658-2_1

Nicolay, Delphine ; Carletti, Timoteo. / Quantum Neural Networks Achieving Quantum Algorithms. Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers. Editeur / Marcello Pelillo ; Irene Poli ; Debora Slanzi ; Roberto Serra ; Marco Villani ; Andrea Roli. Vol 830 Springer, 2018. p. 3-15 (Communications in Computer and Information Science).

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title = "Quantum Neural Networks Achieving Quantum Algorithms",

abstract = "This paper explores the possibility to construct quantum algorithms by means of neural networks endowed with quantum gates evolved to achieve prescribed goals. First tentatives are performed on the well known Deutsch and Deutsch-Jozsa problems. Results are promising as solutions are detected for different sizes and initializations of the problems using a standard evolutionary learning process. This approach is then used to design quantum operators by combining simple quantum operators belonging to a predefined set.",

keywords = "Quantum Neural Networks, Quantum Algorithms, Genetic Algorithm, heuristic method",

author = "Delphine Nicolay and Timoteo Carletti",

note = "Funding Information: We thank Andrea Roli for his critical reading of a preliminary version of the paper. This research used computational resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS. This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimisation), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its authors. Funding Information: This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimisation), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its authors. Funding Information: This research used computational resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.",

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Nicolay, D & Carletti, T 2018, Quantum Neural Networks Achieving Quantum Algorithms. Dans M Pelillo, I Poli, D Slanzi, R Serra, M Villani & A Roli (eds), Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers. VOL. 830, Communications in Computer and Information Science, VOL. 830, Springer, p. 3-15. https://doi.org/10.1007/978-3-319-78658-2_1

Quantum Neural Networks Achieving Quantum Algorithms. / Nicolay, Delphine ; Carletti, Timoteo.
Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers. Ed. / Marcello Pelillo; Irene Poli; Debora Slanzi; Roberto Serra; Marco Villani; Andrea Roli. Vol 830 Springer, 2018. p. 3-15 (Communications in Computer and Information Science; Vol 830).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

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AU - Nicolay, Delphine

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N1 - Funding Information: We thank Andrea Roli for his critical reading of a preliminary version of the paper. This research used computational resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS. This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimisation), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its authors. Funding Information: This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimisation), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its authors. Funding Information: This research used computational resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS. Publisher Copyright: © 2018, Springer International Publishing AG, part of Springer Nature.

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Nicolay D , Carletti T. Quantum Neural Networks Achieving Quantum Algorithms. Dans Pelillo M, Poli I, Slanzi D, Serra R, Villani M, Roli A, rédacteurs en chef, Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers. Vol 830. Springer. 2018. p. 3-15. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-78658-2_1

Quantum Neural Networks Achieving Quantum Algorithms

Résumé

Série de publications

Accès au document

Autres fichiers et liens

Équipement

Plateforme Technologique Calcul Intensif

Activités

Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE 2017)

Contient cette citation