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Takes readers from the basics to detailed derivations and open-source implementations of more than 25 fundamental quantum algorithms.
List of contents
Introduction; 1. The mathematical minimum; 2. Quantum computing fundamentals; 3. Simple algorithms; 4. Scalable, fast simulation; 5. Beyond classical; 6. Complex algorithms; 7. Quantum error correction; 8. Quantum languages, compilers, and tools; Appendix: Sparse Implementation; Bibliography; Index.
About the author
Robert Hundt is a Distinguished Engineer at Google, where he led software development for Google's TPU supercomputers, the XLA compiler for TensorFlow, an open-source CUDA compiler, and currently the high-level synthesis toolchain XLS. He has more than 25 scientific publications, holds 38 patents, and is a senior member of IEEE.
Summary
This introduction to quantum computing for anybody who knows how to program a conventional computer takes readers from the basics to detailed derivations and implementations of more than 25 fundamental quantum algorithms. The classical open-source code base in Python and C++ is developed from the ground up.
Foreword
Takes readers from the basics to detailed derivations and open-source implementations of more than 25 fundamental quantum algorithms.
Additional text
'This book takes a unique approach of introducing quantum computing with a combination of precise but manageable mathematics, open-source code, and detailed derivations of many core quantum algorithms, which makes it an ideal learning resource for the community of software programmers, including both students and professionals, to explore the fascinating land of quantum computing.' Jason Cong, Volgenau Chair for Engineering Excellence, UCLA
