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Stay on top of futuristic developments in computing with this friendly, easy-to-follow-guide to the quantum realm that requires nothing more than knowing basic math.; Learn about the behavior of quantum objects and run your own quantum algorithms on the internet’s freely available quantum computers! This book cuts through the hype and jargon to teach you how quantum computing really works -- and the many useful things quantum algorithms can do for us when we gain more command over them. Author Andrew Glassner, a distinguished research scientist who works in film and television, is your friendly tour guide on this fascinating journey. He’ll quickly show you that the most accurate and objective way to capture the bizarre and unexpected behaviors of the quantum world is by using basic high-school math. You’ll learn about the true nature of quantum objects, discover how quantum algorithms are designed, and more. By the end, you’ll be ready to write and run your own quantum algorithms on quantum computers freely available online. Whether you have a professional interest in quantum computing, a personal curiosity, or simply want to stay on top of such a radical new technology, there is no better introduction to harnessing quantum mechanics to solve complex problems big and small.
List of contents
Acknowledgments
Introduction
PART I: STATES, OPERATORS, AND SYSTEMS
Chapter 1: A Curious Deck of Cards
Chapter 2: Quantum States
Chapter 3: Operators
Chapter 4: Working with Qubits
Chapter 5: Systems
Chapter 6: Measurement
PART II: QUANTUM ALGORITHMS
Chapter 7: Teleportation
Chapter 8: Deutsch’s Algorithm
Chapter 9: Deutsch-Jozsa’s Algorithm
Chapter 10: Bernstein-Vazirani’s Algorithm
Chapter 11: Simon’s Algorithm
Chapter 12: Grover’s Algorithm
Chapter 13: Shor’s Algorithm
Chapter 14: Next Steps
Appendix: Notation
Bibliography
Index
About the author
Dr. Andrew Glassner is a senior research scientist at Weta Digital, where he uses deep learning to help artists produce visual effects for film and television. He was Technical Papers Chair for SIGGRAPH '94, Founding Editor of the Journal of Computer Graphics Tools, and Editor-in-Chief of ACM Transactions on Graphics. His prior books include Deep Learning: A Visual Approach (No Starch Press, 2021), the Graphics Gems series, and the textbook Principles of Digital Image Synthesis. Glassner holds a PhD from UNC-Chapel Hill and paints, plays jazz piano, and writes novels in his free time.
