Quantum Computing

This book teaches practical lessons on how quantum computing really works while exploring the many useful things quantum algorithms can do. Andrew Glassner uses high school-level math to explain the unusual behaviours of quantum computers, then expands to the formulas and techniques used in those computers' unique programs. By the end of the book, readers will be ready to create and run their own quantum algorithms to overcome a variety of practical challenges using quantum computers and simulators freely available online.

Andrew Glassner, PhD, is a principal research scientist at FX, where he uses deep learning to help artists produce visual effects for film and TV. He was technical papers chair for SIGGRAPH ‘94, founding editor of the Journal of Computer Graphics Techniques, and editor in chief of ACM Transactions on Graphics. His prior books include Deep Learning: A Visual Approach (No Starch Press), the Graphics Gems series, and the textbook Principles of Digital Image Synthesis. In his free time, he paints, writes novels, and plays jazz piano.