Quantum Machine Learning: Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing - Couverture rigide

Conti, Claudio

Couverture rigide

ISBN 10 : 3031442253 ISBN 13 : 9783031442254

Editeur : Springer International Publishing AG, 2024

Synopsis

Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks.

A propos du livre

À propos de l?auteur

Claudio Conti is an associate professor at the Department of Physics of the University Sapienza of Rome. He authored over 250 articles in many fields, such as quantum physics, photonics, nonlinear science, biophysics, and complexity. His activity includes experiments and theory, such as the first observation of replica symmetry breaking mentioned in the scientific background of the Nobel prize in physics in 2021, the investigation of neuromorphic computing by quantum fluids, and the optical acceleration of natural language processing. Claudio Conti coordinates an experimental and theoretical group in Rome exploring the frontiers of artificial intelligence and physics.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 3031442253
• ISBN 13: 9783031442254
• Reliure: Relié
• Nombre de pages: 401
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne