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

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

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Availability:In StockContributor:Claudio ContiSeries:Quantum Science and TechnologyPublish date:2024-01-03Pages:378
Language:EnglishPublisher:SpringerISBN-13:9783031442254ISBN-10:3031442253UPC:9783031442254Book Category:Science, Computers, MathematicsBook Subcategory:Physics, Artificial Intelligence, AppliedBook Topic:Quantum TheorySize:9.21 x 6.14 x 0.94 inchesWeight:1.6314Product ID:SCT29RBX2Q
Language:EnglishPublisher:SpringerISBN-13:9783031442254ISBN-10:3031442253UPC:9783031442254Book Category:Science, Computers, MathematicsBook Subcategory:Physics, Artificial Intelligence, AppliedBook Topic:Quantum TheorySize:9.21 x 6.14 x 0.94 inchesWeight:1.6314Product ID:SCT29RBX2Q
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.
Publisher: Springer

Edition

2024 Edition

Contributor(s)

Claudio Conti

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