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...
Κύριοι συγγραφείς: | Schuld, Maria (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Petruccione, Francesco (http://id.loc.gov/vocabulary/relators/aut) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Quantum Science and Technology,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Quantum Physics An Introduction Based on Photons /
ανά: Lvovsky, A.I, κ.ά.
Έκδοση: (2018) -
Quantum Information Meets Quantum Matter From Quantum Entanglement to Topological Phases of Many-Body Systems /
ανά: Zeng, Bei, κ.ά.
Έκδοση: (2019) -
Quantum Correlations A Modern Augmentation /
ανά: Shahandeh, Farid, κ.ά.
Έκδοση: (2019) -
Quantum Walks and Search Algorithms
ανά: Portugal, Renato, κ.ά.
Έκδοση: (2018) -
A New Platform for Edge Mode Manipulations in the Quantum Hall Effect
ανά: Cohen, Yonatan, κ.ά.
Έκδοση: (2018)