Books

One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science.

A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.

Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of math, computer science and physics.

Quantum Computing for Babies is a colorfully simple introduction to the magical world of quantum computers. Babies (and grownups!) will discover the difference between bits and qubits and how quantum computers will change our future. With a tongue-in-cheek approach that adults will love, this installment of the Baby University board book series is the perfect way to introduce basic concepts to even the youngest scientists.

This book teaches a theory at the forefront of modern physics to an audience presumed to already know only basic arithmetic. Topics covered range from the practical (new technologies we can expect soon) to the foundational (old ideas that attempt to make sense of the theory). The theory is built up precisely and quantitatively. Deceptively vague jargon and analogies are avoided, and mysterious features of the theory are made explicit and not skirted. The tenacious reader will emerge with a better technical understanding of why we are troubled by this theory than that possessed by many professional physicists.

Quantum Computing for the Quantum Curious
by Ciaran Hughes, Joshua Isaacson, Anastasia Perry, Ranbel F. Sun, and Jessica Turner

Learn Quantum Computing with Python and Q#: A hands-on approach
by Sarah C. Kaiser and Christopher Granade

Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll learn QC fundamentals as you apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Learn Quantum Computing with Python and Q# builds your understanding of quantum computers, using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities. You’ll learn QC basics as you create your own quantum simulator in Python, then move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing.

Quantum Computing: An Applied Approach
by Jack D. Hidary

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first work to bring these strands together in an updated manner. This work is suitable for both academic coursework and corporate technical training.

Dancing with Qubits: How quantum computing works and how it may change the world
by Robert S. Sutor

Dancing with Qubits is 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

Programming Quantum Computers
by Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia

This book show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve. It includes three multichapter sections: Programming for a QPU, QPU Primitives, and QPU Applications.

Quantum Computing in Action
by Johan Vos

Quantum Computing in Action will make sure you’re prepared to start programming when quantum supercomputing becomes a practical reality for production systems. Rather than a hardware manual or academic theory guide, this book is focused on practical implementations of quantum computing algorithms. Using Strange, a Java-based quantum computer simulator, you’ll go hands-on with quantum computing’s core components including qubits and quantum gates as you write your very first quantum code. By the end of the book you’ll be ahead of the game with the skills to create quantum algorithms using standard Java and your favorite IDE and build tools.

Schrödinger’s Killer App: Race to Build the World’s First Quantum Computer
by Jonathan P. Dowling

This book presents an inside look at the government’s quest to build a quantum computer capable of solving complex mathematical problems and hacking the public-key encryption codes used to secure the Internet. It  develops the concept of entanglement in the historical context of Einstein’s 30-year battle with the physics community over the true meaning of quantum theory.  The author also covers applications to other important areas, such as quantum physics simulators, synchronized clocks, quantum sensors, and imaging devices.

Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning
by Bob Coecke and Aleks Kissinger

The unique features of the quantum world are explained in this book through the language of diagrams, setting out an innovative visual method for presenting complex theories. Requiring only basic mathematical literacy, this book employs a unique formalism that builds intuitive understanding of quantum features while eliminating the need for complex calculations

Quantum Computing without Magic: Devices
by Zdzislaw Meglicki

This text offers an introduction to quantum computing, with a special emphasis on basic quantum physics, experiment, and quantum devices. Unlike many other texts, which tend to emphasize algorithms, Quantum Computing Without Magic explains the requisite quantum physics in some depth, and then explains the devices themselves. This book is a great resource on the devices used in quantum computation and can be used as a complementary text for physics and electronic engineering undergraduates studying quantum computing and basic quantum mechanics, or as an introduction and guide for electronic engineers, mathematicians, computer scientists, or scholars in these fields who are interested in quantum computing and how it might fit into their research programs.

Quantum Design Sprint
by Moses Ma, Po Chi Wu and Skip Sanzeri

The goal of this book is to help readers perform a quantum risk assessment, and learn how to do “quantum thinking” in order to expand their business model to not only mitigate those risks, but to take a leadership role in guiding their company into the quantum age. For any organization to succeed in this brave new quantum computing-powered world, it will require an entirely new approach to truly adapt and innovate.

Quantum Computer Science: An Introduction
by N. David Mermin

This book is a concise introduction to quantum computation, developing the basic elements of it without assuming any background in physics. The book is intended primarily for computer scientists who know nothing about quantum theory, but will also be of interest to physicists who want to learn the theory of quantum computation, and philosophers of science interested in quantum foundational issues.

Quantum Computing for Computer Scientists
by Noson S. Yonofsky and Mirco A. Monnucci

Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer science. The reader is not expected to have any advanced mathematics or physics background.

Quantum Computing for Everyone
by Chris Bernhardt

Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. He simplifies the mathematics and provides elementary examples that illustrate both how the math works and what it means.

An Introduction to Quantum Computing
by Phillip Kaye, Raymond Laflamme, and Michele Mosca

This concise, accessible text provides a thorough introduction to quantum computing is aimed at advanced undergraduate and beginning graduate students in these disciplines, the text is technically detailed and is clearly illustrated throughout with diagrams and exercises. Some prior knowledge of linear algebra is assumed, including vector spaces and inner products.

Quantum Computing Explained
by David McMahon

If you already have taken courses in elementary quantum mechanics, McMahon removes much of the mystery about quantum computing. Unlike other books on the subject, McMahon’s narrative is generously interspersed with many examples. These tend to be simple mathematically, but they illustrate key points. The emphasis in McMahon is indeed on providing extended and simple explanations.

Mathematics of Quantum Computing: An Introduction
by Wolfgang Scherer

This textbook presents the elementary aspects of quantum computing in a mathematical form. It is intended as core or supplementary reading for physicists, mathematicians, and computer scientists taking a first course on quantum computing. It starts by introducing the basic mathematics required for quantum mechanics, and then goes on to present, in detail, the notions of quantum mechanics, entanglement, quantum gates, and quantum algorithms.