000			01613 a2200385 4500
001			44094
003			BD-DhAAL
005			20250909101154.0
008			250209t2021 sz a|||| b||| 001 0 eng d
020			_a9783030830977
020			_a 9783030830984
040			_aBD-DhAAL
082			_a006.31 _221
100			_aSchuld, Maria. _956933
245			_aMachine learning with quantum computers / _cMaria Schuld, F. Petruccione.
250			_aSecond edition.
260			_aCham, Switzerland : _bSpringer, _c2021.
300			_axiv, 312 pages : _billustrations (some color) ; _c24 cm
490			_aQuantum science and technology
504			_aIncludes bibliographical references and index.
505			_aIntroduction 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
650			_aMachine learning.
650			_aQuantum computers.
650			_aQuantum theory.
650			_aArtificial intelligence.
650			_aComputer science.
650			_aNeural networks (Computer science).
650			_aConceptual structures (Information theory). _957762
700			_aPetruccione, F. _957726
830			_aQuantum science and technology _957725
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK
999			_c47001 _d47001