Concise Guide to Quantum Machine Learning

AvDavide Pastorello

Häftad, Engelska, 2023

Del i serien Machine Learning: Foundations, Methodologies, and Applications

1 638 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Inbunden

1 590 kr

Skickas inom 10-15 vardagar

Beskrivning

This book offers a brief but effective introduction to quantum machine learning (QML). Instead, to immerse the reader in the quantum realm from the outset, the book starts from fundamental notions of quantum mechanics and quantum computing.

Produktinformation

Utgivningsdatum:2023-12-17
Mått:178 x 254 x 9 mm
Vikt:293 g
Format:Häftad
Språk:Engelska
Serie:Machine Learning: Foundations, Methodologies, and Applications
Antal sidor:138
Förlag:Springer Verlag, Singapore
ISBN:9789811968990

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

Davide Pastorello is an assistant professor in the Department of Information Engineering and Computer Science at the University of Trento.

Recensioner i media

“The book under review summarises lecture notes presented by the author for the quantum machine learning MSc course at the University of Trento; it is therefore structured in a student-friendly manner, offering support both on the mathematical side (also with the interpretation of quantum mechanics) and on the algorithmic side. ... The book concludes with an extensive, well-curated set of references, which represent an excellent continuation of quantum approaches.” (Irina Ioana Mohorianu, zbMATH 1530.68003, 2024)

Innehållsförteckning

Chapter 1: Introduction.- Chapter 2: Basics of Quantum Mechanics.- Chapter 3: Basics of Quantum Computing.- Chapter 4: Relevant Quantum Algorithms.- Chapter 5: QML Toolkit.- Chapter 6: Quantum Clustering.- Chapter 7: Quantum Classification.- Chapter 8: Quantum Pattern Recognition.- Chapter 9: Quantum Neural Networks.- Chapter 10: Concluding Remarks.