Explore the principles and practicalities of quantum computing
Key Features
- Discover how quantum computing works and delve into the math behind it with this quantum computing textbook
- Learn how it may become the most important new computer technology of the century
- Explore the inner workings of quantum computing technology to quickly process complex cloud data and solve problems
Book Description
Quantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology.
Dancing with Qubits is a 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. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide 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 will affect you.
Really 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 introduced and explained thoroughly, in clear English with helpful examples.
What you will learn
- See how quantum computing works, delve into the math behind it, what makes it different, and why it is so powerful with this quantum computing textbook
- Discover the complex, mind-bending mechanics that underpin quantum systems
- Understand the necessary concepts behind classical and quantum computing
- Refresh and extend your grasp of essential mathematics, computing, and quantum theory
- Explore the main applications of quantum computing to the fields of scientific computing, AI, and elsewhere
- Examine a detailed overview of qubits, quantum circuits, and quantum algorithm
Who this book is for
Dancing with Qubits is a quantum computing textbook for those who want to deeply explore the inner workings of quantum computing. This entails some sophisticated mathematical exposition and is therefore best suited for those with a healthy interest in mathematics, physics, engineering, and computer science.
Table of Contents
- Why Quantum Computing?
- They're Not Old, They're Classics
- More Numbers than You Can Imagine
- Planes and Circles and Spheres, Oh My
- Dimensions
- What Do You Mean ""Probably""?
- One Qubit
- Two Cubits, Three
- Wiring Up the Circuits
- From Circuits to Algorithms
- Getting Physical
- Questions about the Future
Robert S. Sutor has been a technical leader and executive in the IT industry for over 40 years. More than two decades of that were spent in IBM Research in Yorktown Heights, New York USA. During his time there, he worked on and led efforts in symbolic mathematical computation, mathematical programming languages, optimization, AI, blockchain, and quantum computing. He is the author of Dancing with Qubits: How quantum computing works and how it can change the world and Dancing with Python: Learn Python software development from scratch and get started with quantum computing, also with Packt. He is the published co-author of several research papers and the book Axiom: The Scientific Computation System with the late Richard D. Jenks. Sutor was an IBM executive on the software side of the business in areas including Java web application servers, emerging industry standards, software on Linux, mobile, and open source. He was the Vice President of Corporate Development and, later, Chief Quantum Advocate, at Infleqtion, a quantum computing and quantum sensing company based in Boulder, Colorado USA. He is currently an Adjunct Professor in the Department of Computer Science and Engineering at the University at Buffalo, New York, USA. He is 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.
