Learning Quantum Computing is better with the right guide. Here we outline 17 quantum books that may not be on your book radar but have provided insight and understanding to the complex field of quantum computing.
Please note that we have not included ALL books on quantum computing, but we have aimed to try and include lesser reviewed books or older books. Please note that the links take you to Amazon, where we can pay a tiny percentage if you make a purchase.
1. Quantum Computing: A Gentle Introduction by Eleanor Rieffel and Wolfgang Polak
This book offers a solid introduction to quantum computing for readers who are curious about the subject but don’t have a background in quantum mechanics. The authors succeed in explaining complex concepts in an approachable manner, focusing on both the theoretical underpinnings and practical implications of quantum computing. The writing style makes it accessible to advanced undergraduates, graduate students, and professionals with a basic knowledge of computer science and linear algebra.
Aimed at readers looking to understand the foundational principles behind quantum algorithms, the book starts by introducing the mathematics of quantum states and quantum bits (qubits). Rieffel and Polak provide clear explanations of quantum gates, circuits, and several algorithms, including Grover’s and Shor’s algorithms. What makes this book stand out is its careful pacing, designed to help learners build their intuition for how quantum computations differ from classical ones.
By the end of the book, readers will have gained a comprehensive understanding of how quantum algorithms work, why they are powerful, and what challenges remain in developing large-scale quantum computers. It’s an excellent starting point for anyone looking to explore the computational aspects of quantum theory without getting lost in overly technical language.
2. Quantum Computation and Quantum Information by Michael A. Nielsen and Isaac L. Chuang
Widely regarded as the “bible” of quantum computing, this book is an in-depth exploration of quantum computation and quantum information theory. Nielsen and Chuang’s work is comprehensive, making it the go-to reference for researchers, graduate students, and professionals who already have a good understanding of mathematics and classical computer science. The depth and rigor of the content make it a suitable choice for those committed to mastering the field.
The book starts with an introduction to quantum mechanics, quickly moving into the principles of quantum computation. Key topics include quantum algorithms, error correction, cryptography, and complexity theory, all explained with mathematical precision. The authors do not shy away from detailed derivations and proofs, making it a demanding but rewarding read for those seeking to understand quantum computation at the theoretical level.
Readers can expect to gain a thorough grasp of both the mathematical foundations and the practical aspects of quantum information. The book covers not just how quantum computers work, but also how information can be manipulated and protected in a quantum system. Although challenging, it provides the depth needed for readers pursuing academic research or advanced work in the field.
3. An Introduction to Quantum Computing by Phillip Kaye, Raymond Laflamme, and Michele Mosca
This book is designed for readers with a background in classical computer science who want to make the leap into quantum computing. It serves as an intermediate-level text, bridging the gap between basic introductions to quantum mechanics and advanced treatments of quantum algorithms and information theory. The authors provide a clear, step-by-step progression through the material, ensuring that readers can follow along without needing an extensive physics background.
The book covers essential quantum concepts, such as quantum gates, circuits, and algorithms, with a particular focus on understanding how these concepts differ from their classical counterparts. What sets this book apart is its emphasis on building intuition through examples and exercises, making it an excellent choice for computer science students transitioning into the quantum realm.
By the end of the book, readers will have a solid understanding of key algorithms like Grover’s and Shor’s, as well as an appreciation for the practical challenges of building and operating quantum computers. The book strikes a good balance between theoretical depth and accessibility, making it suitable for self-study or as part of an academic course.
4. Quantum Computing for Everyone by Chris Bernhardt
This book is a well-rounded and accessible introduction to quantum computing, aimed at a broad audience, including those without a deep technical background. Chris Bernhardt does an excellent job breaking down the fundamental principles of quantum mechanics and quantum computing into digestible pieces, making it a suitable choice for beginners, hobbyists, and non-experts curious about the subject.
The text starts with a discussion of classical computing before moving on to explain the differences introduced by quantum mechanics. Readers are guided through topics such as superposition, entanglement, and the basics of quantum gates and circuits. Bernhardt’s ability to explain these abstract concepts in simple terms, without sacrificing accuracy, makes this book an ideal starting point for those new to the field.
By the end of the book, readers will have gained a high-level understanding of the potential and limitations of quantum computing. While the book doesn’t delve into the advanced mathematics of quantum mechanics, it provides enough background for readers to appreciate why quantum computers could outperform classical ones in certain tasks. This is a great entry-level book for anyone interested in understanding the key ideas of quantum computing.
5. Quantum Computing since Democritus by Scott Aaronson
Scott Aaronson’s Quantum Computing since Democritus offers a unique and philosophical perspective on quantum computing, making it both a technical book and a meditation on the nature of computation and reality. While the text is grounded in solid technical content, Aaronson frequently detours into philosophical discussions, making it stand out from other technical books on the subject.
This book is aimed at readers who have a strong background in mathematics and computer science, and who are also comfortable engaging with abstract concepts. Aaronson covers a wide range of topics, including quantum computing, complexity theory, and the foundations of physics. The book provides deep insights into quantum algorithms, the limits of computation, and even philosophical questions about free will and determinism.
Readers can expect to learn not only about quantum computing, but also about how quantum theory fits into broader questions in computer science and philosophy. Aaronson’s witty and engaging style makes the book a refreshing read, though its depth and occasional mathematical rigor make it more suitable for advanced readers. It’s a great choice for those who enjoy thinking about the big questions while learning about cutting-edge science.
6. Quantum Information Theory by Mark M. Wilde
Quantum Information Theory by Mark M. Wilde is a comprehensive text that delves deeply into the theoretical aspects of quantum information. This book is intended for advanced students, researchers, and professionals with a strong mathematical background. Its depth and rigor make it an excellent reference for those pursuing careers in quantum information science or related fields.
The book covers topics such as quantum entropy, channel capacities, quantum error correction, and entanglement theory, all explained with mathematical precision. Wilde provides clear derivations of the key results in the field, and the book is rich with exercises, making it suitable for academic use in graduate courses. However, readers will need a good understanding of linear algebra and probability theory to fully appreciate the material.
By the end of the book, readers will have a deep understanding of how information is processed and manipulated in quantum systems. They will also gain insight into the fundamental limits of communication and computation in the quantum world. This is not a casual introduction, but a thorough and rigorous exploration of the subject, making it a valuable resource for serious students and researchers.
7. Quantum Mechanics: The Theoretical Minimum by Leonard Susskind and Art Friedman
Part of the “Theoretical Minimum” series, this book by Leonard Susskind and Art Friedman is an accessible yet rigorous introduction to quantum mechanics. It’s designed for readers who want to understand the core concepts of quantum mechanics without going through a full physics curriculum. The authors provide a clear and concise explanation of the foundational mathematics and physics behind quantum theory.
The book covers key topics such as wave functions, uncertainty, and quantum states, presenting them in a way that emphasizes understanding over memorization. What makes this book unique is its pedagogical approach: it’s structured as if the reader is attending a lecture series, with exercises and examples that encourage hands-on learning. Susskind’s engaging style makes complex ideas feel more approachable, even for readers without a physics background.
By the end of the book, readers will have a good grasp of the essential ideas in quantum mechanics and how they form the basis for modern physics and quantum computing. While it doesn’t delve deeply into quantum algorithms or computation, it provides the necessary groundwork for readers who want to pursue those topics in future studies.
8. Quantum Computing Explained by David McMahon
David McMahon’s Quantum Computing Explained serves as a beginner-friendly introduction to the field, aimed at engineers, computer scientists, and anyone curious about how quantum computers work. The book balances a practical and theoretical approach, ensuring that readers not only understand the principles of quantum computing but also how these principles can be applied in real-world scenarios.
McMahon starts with an introduction to quantum mechanics, gradually moving into the key ideas of quantum computation, including quantum gates, algorithms, and error correction. What sets this book apart is its focus on providing hands-on examples and worked-out problems, which help readers solidify their understanding of the material. This makes it an excellent resource for self-learners or students.
By the end of the book, readers will have a solid foundation in the key topics of quantum computing, including the most famous quantum algorithms such as Grover’s and Shor’s. It’s not as mathematically rigorous as some other texts but provides enough detail to satisfy a broad range of readers. Whether you’re a professional looking to broaden your knowledge or a student starting out, McMahon’s book offers a clear and practical guide to quantum computing.
9. Quantum Computing for Computer Scientists by Noson S. Yanofsky and Mirco A. Mannucci
Quantum Computing for Computer Scientists by Yanofsky and Mannucci is specifically tailored to individuals with a background in computer science, offering a bridge between classical computer science concepts and the world of quantum computing. The authors manage to maintain a balance between accessibility and technical depth, making it an excellent resource for readers with experience in algorithms, programming, and computational theory.
The book begins with a review of classical computing concepts and progresses into quantum computing, focusing on how quantum bits (qubits) and gates differ from their classical counterparts. The authors present key algorithms, including Grover’s and Shor’s, with clear explanations that are supported by pseudocode, allowing computer scientists to follow the logic and structure of quantum algorithms without requiring a background in quantum mechanics.
By the end of the book, readers will have a good understanding of the computational advantages offered by quantum systems and how quantum algorithms are structured. The book is particularly suited for undergraduate or graduate computer science students, as well as professionals transitioning into the quantum computing field. The structured approach makes it a strong candidate for course textbooks or self-study.
10. The Fabric of Reality by David Deutsch
In The Fabric of Reality, David Deutsch presents a sweeping philosophical vision that ties together quantum mechanics, computation, evolution, and epistemology. Although this book is not a traditional technical textbook on quantum computing, it is highly influential in the field due to its exploration of how quantum theory underpins our understanding of the universe. The book is accessible to a wide audience, including readers without a background in physics, though some familiarity with scientific concepts is beneficial.
Deutsch is one of the pioneers of quantum computation, and his insights in this book illuminate the philosophical implications of quantum mechanics. He discusses the Many-Worlds interpretation of quantum mechanics, positing that quantum computers can solve problems by simultaneously exploring multiple possible outcomes in parallel universes. The philosophical depth of the book makes it a fascinating read for anyone interested in the implications of quantum theory beyond computation.
Readers who engage with this book will gain an appreciation for how quantum mechanics influences broader fields of knowledge, including information theory, computation, and even the philosophy of science. It’s a thought-provoking read that challenges conventional thinking about reality and computation, making it ideal for those interested in the deeper implications of quantum technology.
11. Quantum Computing: A Short Course from Theory to Experiment by Joachim Stolze and Dieter Suter
This book by Stolze and Suter offers a concise yet rigorous introduction to both the theoretical and experimental aspects of quantum computing. Written for advanced undergraduate and graduate students, as well as researchers, it combines mathematical precision with practical insights into how quantum computers work. The book’s focus on experiments makes it particularly valuable for those interested in the physical realization of quantum computers.
The text begins with an introduction to the fundamental principles of quantum mechanics, followed by a detailed discussion of quantum gates, circuits, and algorithms. Unlike many other texts, this book delves into the practicalities of building quantum computers, including discussions on quantum error correction, decoherence, and the challenges faced in current quantum technology development. This makes it an excellent choice for physicists and engineers who are working on or studying the hardware aspect of quantum computing.
By the end of the book, readers will have a firm grasp of both the theoretical underpinnings and the experimental challenges in quantum computing. The book provides a well-rounded understanding of the subject, making it suitable for those pursuing research or careers in quantum computing and quantum information science.
12. Quantum Physics for Beginners by Zbigniew Ficek
Quantum Physics for Beginners by Zbigniew Ficek is an excellent introductory text aimed at those who are new to quantum mechanics. While not exclusively focused on quantum computing, the book covers the fundamental concepts of quantum mechanics that underpin the theory of quantum computation. It is designed for readers without a background in physics or advanced mathematics, making it an accessible starting point for students and curious individuals.
Ficek’s clear explanations of key topics like superposition, entanglement, and wave-particle duality make the complex nature of quantum mechanics understandable to a general audience. The book avoids heavy mathematical formalism, focusing instead on building intuition through conceptual explanations and diagrams. It’s a great resource for anyone who wants to understand the basic principles before moving on to more advanced topics in quantum computing.
By the end of the book, readers will have a strong foundation in the core ideas of quantum physics, allowing them to appreciate how these ideas are applied in quantum computing. While it doesn’t delve into algorithms or quantum information theory, it’s a great stepping stone for those preparing to study quantum technology in more detail.
13. Quantum Computer Science: An Introduction by N. David Mermin
N. David Mermin’s Quantum Computer Science: An Introduction is a well-crafted guide aimed at readers with a background in classical computer science who wish to explore the basics of quantum computing. Mermin, a respected physicist, presents the material in a way that doesn’t require deep expertise in quantum mechanics, making it an accessible yet rigorous introduction to the subject.
The book begins with an overview of the basic principles of quantum mechanics, such as superposition and entanglement, before moving on to the core concepts of quantum computation, including quantum gates and circuits. Mermin provides clear explanations of famous quantum algorithms, including Shor’s factoring algorithm and Grover’s search algorithm, while focusing on how quantum computers differ from classical ones.
By the end of the book, readers will have a solid grasp of the key ideas in quantum computation, including both the potential benefits and limitations of quantum technology. The book is suitable for undergraduate and graduate students in computer science, as well as professionals looking to gain a better understanding of how quantum computers work.
14. Quantum Computing: From Linear Algebra to Physical Realizations by Mikio Nakahara and Tetsuo Ohmi
This book by Mikio Nakahara and Tetsuo Ohmi provides a comprehensive exploration of quantum computing, covering both the mathematical foundations and physical realizations of quantum systems. Aimed at advanced undergraduate and graduate students, as well as researchers in the field, the text requires a strong background in linear algebra and quantum mechanics to fully appreciate its depth. The authors take readers through a journey that connects theoretical concepts with their real-world implementations.
The book begins with a thorough introduction to linear algebra and quantum theory, offering readers the necessary tools to understand quantum algorithms and their underlying principles. Key algorithms, such as Grover’s and Shor’s, are explained in detail, with an emphasis on the linear algebra that supports them. In the later chapters, the authors discuss the physical implementations of quantum computers, including technologies like superconducting qubits and trapped ions, giving a practical perspective on the challenges faced in quantum hardware development.
By the end of the book, readers will have gained both a deep theoretical understanding of quantum computing and insights into the physical constraints and possibilities of quantum technology. The book is particularly valuable for those who wish to connect the abstract mathematics of quantum computation with its experimental realization, making it a suitable choice for students and professionals in both theoretical and experimental quantum computing fields.
15. Quantum Information and Quantum Computation for Chemistry by Sabre Kais
This book is one of the few specialized texts focusing on the intersection of quantum computation and chemistry, making it an important resource for researchers and students in quantum chemistry and computational physics. Sabre Kais presents quantum computing concepts with an emphasis on how they can be applied to solve problems in chemical systems, from molecular simulations to quantum dynamics.
The book begins by introducing the basics of quantum mechanics and quantum computation, but quickly moves into more chemistry-focused topics, such as the simulation of molecular structures and chemical reactions using quantum algorithms. Kais explains how quantum computers can outperform classical computers in tasks such as the calculation of molecular properties and the prediction of reaction outcomes. Theoretical discussions are complemented with practical examples, helping readers grasp how quantum chemistry could revolutionize the field.
Readers who engage with this book will gain a deep understanding of how quantum information science can be applied to chemistry, and they will be introduced to cutting-edge research in areas like quantum simulations of molecules and materials. This is a highly specialized text, best suited for those working in chemistry or physics who are looking to integrate quantum computing into their research.
16. Quantum Computing for the Quantum Curious by Ciaran Hughes, Joshua Isaacson, and Peter Love
Written by Ciaran Hughes, Joshua Isaacson, and Peter Love, this book offers an accessible yet detailed introduction to quantum computing for readers who are curious but may not have a deep technical background. The authors successfully strike a balance between introducing key concepts of quantum computing and making the subject approachable for a broad audience, including hobbyists, students, and professionals transitioning from classical computing backgrounds.
The book starts with a high-level introduction to quantum mechanics and classical computation, then dives into the unique aspects of quantum computing, such as qubits, superposition, and entanglement. The writing is clear, and the technical content is accompanied by illustrative examples, making it easier to follow complex ideas. What makes this book stand out is its engaging style, which incorporates humor and real-world analogies to explain abstract concepts.
By the end of the book, readers will have a strong conceptual understanding of how quantum computers differ from classical ones and why they are important for the future of computation. The book doesn’t require an advanced mathematical or physical background, making it a great resource for anyone curious about quantum computing but intimidated by more technical texts.
17. Quantum Machine Learning: What Quantum Computing Means to Data Mining, Machine Learning, and Artificial Intelligence by Peter Wittek
This book by Peter Wittek explores the exciting intersection of quantum computing and machine learning, offering a deep dive into how quantum algorithms could revolutionize the field of artificial intelligence. Aimed at researchers, students, and professionals in both quantum computing and machine learning, the text requires a solid understanding of classical machine learning concepts, as well as basic quantum mechanics. Wittek successfully bridges the gap between these two fields, providing readers with insights into the future of quantum-enhanced data science.
The book starts with a review of classical machine learning techniques before introducing how quantum algorithms can be applied to optimize tasks like clustering, classification, and regression. Key quantum algorithms, such as the quantum support vector machine and quantum neural networks, are discussed in detail. Wittek provides practical examples and case studies, making it clear how these quantum approaches could outperform their classical counterparts in terms of speed and efficiency.
By the end of the book, readers will have a comprehensive understanding of how quantum computing could transform machine learning and AI, including the limitations and challenges that still need to be addressed. The book is an excellent resource for those looking to stay at the forefront of quantum technology and its applications in data science, making it a must-read for professionals in both fields.
