Quantum Computing from Hopfield Nets : A Textbook with Python Code Examples / Christian Bauckhage.

Cognitive Technologies -- Quantum Computing from Hopfield Nets -- Preface -- Why Learn About Quantum Computing -- How to Learn About Quantum Computing -- Overview -- Acknowledgements -- Contents -- Part I: Preliminaries -- 1. Setting the Stage -- 2. Boolean Domains, Numbers, and Vectors -- 3. Kronecker Products -- 4. QUBOs -- 5. QUBO Models -- Part II: Hopfield Nets -- Part III: Quantum Computing -- 10. Quantum Mechanics in a Nutshell -- 11. Exploring Quantum Weirdness -- 11.1 Introduction -- 11.2 The Schrödinger Equation for a 1D Particle -- 11.2.1 Separating Space and Time -- 11.2.2 Solving for ϕ(t) -- 11.2.3 What About ψ(x)? -- 11.3 A Particle in an Infinite Potential Well -- 11.4 A Particle within a Finite Potential Box -- 11.5 A Particle Facing a Finite Potential Barrier -- 11.6 Quantum Superposition -- 11.7 Numerically Solving Schrödinger Equations -- 11.8 Exercises -- 12. Adiabatic Quantum Computing -- 12.1 Introduction -- 12.2 The Axioms of Quantum Computing -- 12.3 QUBO Solving via Adiabatic Evolution -- 12.4 Simulating Adiabatic Quantum Evolution -- 12.5 Caveats and Unjustified Criticism -- 12.6 Exercises -- 13. An Outlook to Quantum Gate Computing -- 13.1 Introduction -- 13.2 A Different View on Qubit Evolution -- 13.3 Quantum Circuits in a Nutshell -- 13.4 The Need for Reversibility -- 13.5 Deutsch's Problem and Algorithm -- 13.5.1 Simulating Quantum Gate Computing -- 13.5.2 Concluding Remarks -- 13.6 Exercises -- Index.

This open access book is meant as a textbook for Computer Science students who are looking for a gentle introduction to the world of quantum computing.More specifically, it is written for readers who have basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and have a certain familiarity with search algorithms, optimization.

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