Cargando…
Supervised learning with quantum computers
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at pr...
Autores principales: | Schuld, Maria, Petruccione, Francesco |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2018
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-96424-9 http://cds.cern.ch/record/2638878 |
Ejemplares similares
-
Quantum ensembles of quantum classifiers
por: Schuld, Maria, et al.
Publicado: (2018) -
Supervised and unsupervised learning for data science
por: Berry, Michael W, et al.
Publicado: (2020) -
Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning
por: Smith, Taylor
Publicado: (2019) -
Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
por: Chan, Jay, et al.
Publicado: (2021) -
Quantum computation and quantum information
por: Nielsen, Michael A, et al.
Publicado: (2000)