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Supervised Learning with Quantum Computers

-15% su kodu: ENG15
259,17 
Įprasta kaina: 304,90 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
259,17 
Įprasta kaina: 304,90 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 304.9000 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

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 providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

Informacija

Autorius: Francesco Petruccione, Maria Schuld,
Serija: Quantum Science and Technology
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2018
Knygos puslapių skaičius: 304
ISBN-10: 3319964232
ISBN-13: 9783319964232
Formatas: 241 x 160 x 22 mm. Knyga kietu viršeliu
Kalba: Anglų

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