Quantum Artificial Intelligence with Qiskit
eBook - ePub

Quantum Artificial Intelligence with Qiskit

  1. 334 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Quantum Artificial Intelligence with Qiskit

About this book

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.

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Yes, you can access Quantum Artificial Intelligence with Qiskit by Andreas Wichert in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

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