Quantum Artificial Intelligence with Qiskit (ePub)
Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum...
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Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum Artificial Intelligence with Qiskit provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer.
Introducing symbolical quantum algorithms, sub-symbolical quantum algorithms, and quantum Machine Learning (ML) algorithms, this book explains each process step by step with associated Qiskit listings. All examples are additionally available for download at https://github.com/andrzejwichert/qai.
Allowing readers to learn the basic concepts of quantum computing on their home computers, this book is accessible to both the general readership as well as students and instructors of courses relating to computer science and AI.
graduated in 1993. He studied Philosophy and Computer Science in the University
Ulm. 1999 he made his Bachelor in Philosophy and 2000 PhD in Computer Science.
He is an assistant professor with habilitation at Department of Computer Science
and Engineering, University of Lisbon where he is as well lecturing about machine
learning and quantum computation. His research focuses on neuronal networks, cognitive
systems and quantum computation. He published six books and over hundred
scientific articles.
- Autor: Andreas Wichert
- 2024, 1. Auflage, 325 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1003828329
- ISBN-13: 9781003828327
- Erscheinungsdatum: 26.01.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 6.85 MB
- Ohne Kopierschutz
- Vorlesefunktion
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