Overview

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.

Full Product Details

Author:   Andreas Wichert
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.640kg
ISBN:  

9781032448985

ISBN 10:   1032448989
Pages:   299
Publication Date:   31 July 2025
Audience:   General/trade ,  College/higher education ,  Adult education ,  General ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Preface Author Bio Chapter 1 Artificial Intelligence Chapter 2 Quantum Physics and Quantum Computation Chapter 3 Qiskit Chapter 4 Quantum Gates Chapter 5 Grover's Amplification Chapter 6 SAT Problem Chapter 7 Symbolic State Representation Chapter 8 Quantum Production System Chapter 9 3 Puzzle Chapter 10 8 Puzzle Chapter 11 Blocks World Chapter 12 Five Pennies Nim Game Chapter 13 Basis Encoding of Binary Vectors Chapter 14 Quantum Associative Memory Chapter 15 Quantum Lernmatrix Chapter 16 Amplitude Encoding Chapter 17 Quantum Kernels Chapter 18 qRAM Chapter 19 Quantum Fourier Transform Chapter 20 Phase Estimation Chapter 21 Quantum Perceptron Chapter 22 HHL Chapter 23 Hybrid Approaches - Variational Classification Chapter 24 Conclusion Bibliography Index

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Author Information

Andreas Wichert studied computer science at the University of Saarland, where he 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.

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