Machine Learning with Quantum Computers (Quantum Science and Technology) Paperback – Import, 19 October 2022
Maria Schuld . Springer Nature Switzerland AG . English
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.
Categories: Self-Help
About the Author
Francesco Petruccione was born in 1961 in Genova (Italy). He studied Physics at the University of Freiburg i. Br. and received his PhD in 1988. He was conferred the “Habilitation” degree (Dr. rer. nat. habil.) from the same University in 1994. In 2004 he was appointed Professor of Theoretical Physics at the University of KwaZulu-Natal (UKZN), in Durban (South Africa). In 2005 he was awarded an Innovation Fund grant to set up a Centre for Quantum Technology. In 2007 he was granted the South African Research Chair for Quantum Information Processing and Communication. At present, he is the interim Director of the National Institute for Theoretical and Computational Science, Pro Vice-Chancellor Big Data and Informatics of UKZN, and Adjunct Professor in the School of Electrical Engineering of the Korean Advanced Institute for Science and Technology (KA 100 151k 0 151k 0 0 91780 0 --:--:-- 0:00:01 --:--:-- 91744IST). Prof Petruccione is an elected member of the Academy of Sciences of South Africa, a Fellow of the Royal Society of South Africa and a Fellow of the University of KwaZulu- Natal. He has published about 250 papers in refereed scientific journals. He is the co- author of a monograph on “The Theory of Open Quantum Systems " (more than 7000 citations according to Google Scholar), that was published in 2002, reprinted as paperback in 2007, and translated in Russian. Recently, he published a monograph (with Maria Schuld) on "Supervised Learning with Quantum Computers". He is the editor of several proceedings volumes and of special editions of scientific journals. Prof Petruccione is a member of the Editorial Board of the journals "Open Systems and Information Dynamics", "Scientific Reports", "Quantum Machine Intelligence”, and “EPJ Quantum Technology”.
