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Quantum Artificial Intelligence with Qiskit by Andreas Wichert at Abbey's Bookshop,
Quantum Artificial Intelligence with Qiskit
— —
Andreas Wichert

Quantum Artificial Intelligence with Qiskit

Andreas Wichert

$158

Hardback

Not in-store but you can order this
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English
Chapman & Hall/CRC
26 January 2024
Applied mathematics; Quantum physics (quantum mechanics & quantum field theory); Computing: general; Artificial intelligence
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.
By:  
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   762g
ISBN:   9781032448978
ISBN 10:   1032448970
Pages:   299
Publication Date:  
Audience:   General/trade ,  College/higher education ,  Adult education ,  ELT Advanced ,  Primary
Format:   Hardback
Publisher's Status:   Active
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

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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