Principles of Quantum Artificial Intelligence

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.