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This book 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.
This book 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.
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Buch |
| Seiten: | 299 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781032448978 |
| ISBN-10: | 1032448970 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Wichert, Andreas |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 187 x 263 x 27 mm |
| Von/Mit: | Andreas Wichert |
| Erscheinungsdatum: | 26.01.2024 |
| Gewicht: | 0,804 kg |
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Buch |
| Seiten: | 299 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781032448978 |
| ISBN-10: | 1032448970 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Wichert, Andreas |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 187 x 263 x 27 mm |
| Von/Mit: | Andreas Wichert |
| Erscheinungsdatum: | 26.01.2024 |
| Gewicht: | 0,804 kg |
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