Quantum Mechanics And Bayesian Machines

This compendium brings together the fields of Quantum Computing, Machine Learning, and Neuromorphic Computing. It provides an elementary introduction for students and researchers interested in quantum or neuromorphic computing to the basics of machine learning and the possibilities for using quantum devices for pattern recognition and Bayesian decision tree problems. The volume also highlights some possibly new insights into the meaning of quantum mechanics, for example, why a description of Nature requires probabilistic rather than deterministic methods.

Product details

• Authors: George Chapline, George Chapline
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 01.06.2023
• EAN: 9789813232464
• ISBN: 978-981-3232-46-4
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; Quantenphysik (Quantenmechanik und Quantenfeldtheorie), SCIENCE / Physics / Quantum Theory, COMPUTERS / Computer Vision & Pattern Recognition, Computers - General Information, COMPUTERS / Machine Theory, Quantum physics (quantum mechanics & quantum field theory), Quantum physics (quantum mechanics and quantum field theory)