Principles of Quantum Artificial Intelligence

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
Cover of the book Principles of Quantum Artificial Intelligence by Andreas Wichert, World Scientific Publishing Company
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Author: Andreas Wichert ISBN: 9789814566766
Publisher: World Scientific Publishing Company Publication: October 23, 2013
Imprint: WSPC Language: English
Author: Andreas Wichert
ISBN: 9789814566766
Publisher: World Scientific Publishing Company
Publication: October 23, 2013
Imprint: WSPC
Language: English

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.

Contents:

  • Introduction
  • Computation
  • Problem Solving
  • Information
  • Reversible Algorithms
  • Probability
  • Introduction to Quantum Physics
  • Computation with Qubits
  • Periodicity
  • Search
  • Quantum Problem-Solving
  • Quantum Cognition
  • Related Approaches

Readership: Professionals, academics, researchers and graduate students in artificial intelligence, theoretical computer science, quantum physics and computational physics.
Key Features:

  • Introduces a new subarea of AI — Quantum Artificial Intelligence
  • Orients itself on computer science by merging AI and Quantum Computation principles
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.

Contents:

Readership: Professionals, academics, researchers and graduate students in artificial intelligence, theoretical computer science, quantum physics and computational physics.
Key Features:

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