Discover how quantum computing works and delve into the math behind it with practical examples
Learn about and assess the most up-to-date quantum computing topics including quantum machine learning
Explore the inner workings of existing quantum computing technologies to understand how they may perform significantly better than their classical counterparts
Description
Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you.
This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning.
Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.
What you will learn
Explore the mathematical foundations of quantum computing
Discover the complex, mind-bending concepts that underpin quantum systems
Understand the key ideas behind classical and quantum computing
Refresh and extend your grasp of essential mathematics, computing, and quantum theory
Examine a detailed overview of qubits and quantum circuits
Dive into quantum algorithms such as Grover’s search, Deutsch-Jozsa, Simon’s, and Shor’s
Explore the main applications of quantum computing in the fields of scientific computing, AI, and elsewhere
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Robert S. Sutor has been a technical leader and executive in the IT industry for over 35 years. More than two decades of that have been spent in IBM Research in New York. During his time there, he worked on and led efforts in symbolic mathematical computation, optimization, AI, blockchain, and quantum computing.
He was an executive on the software side of the business in areas including emerging industry standards, software on Linux, mobile, and open source. He's a theoretical mathematician by training, has a Ph.D. from Princeton University, and an undergraduate degree from Harvard College. He started coding when he was 15 and has used most of the programming languages that have come along.
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