Schuld, Maria. creator Petruccione, F. sz Cham, Switzerland Springer 2021 Second edition. eng xiv, 312 pages : illustrations (some color) ; 24 cm Introduction Machine learning Quantum computing Representing data on a quantum computer Variational circuits as machine learning models Quantum models as Kernel methods Fault-tolerant quantum machine learning Approaches based on the Ising model Potential quantum advantages Maria Schuld, F. Petruccione. Includes bibliographical references and index. Machine learning Quantum computers Quantum theory Artificial intelligence Computer science Neural networks (Computer science) Conceptual structures (Information theory) 006.31 9783030830977 9783030830984 Ayesha Abed Library BD-DhAAL 250209 20250909101154.0 44094