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Key benefits

Build a solid mathematical foundation to get started with developing powerful quantum solutions

Understand linear algebra, calculus, matrices, complex numbers, vector spaces, and other concepts essential for quantum computing

Learn the math needed to understand how quantum algorithms function

Description

Quantum computing is an exciting subject that offers hope to solve the world’s most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite math concepts in an intuitive way and connect them to principles in quantum computing. Starting with the most basic of concepts, 2D vectors that are just line segments in space, you'll move on to tackle matrix multiplication using an instinctive method. Linearity is the major theme throughout the book and since quantum mechanics is a linear theory, you'll see how they go hand in hand. As you advance, you'll understand intrinsically what a vector is and how to transform vectors with matrices and operators. You'll also see how complex numbers make their voices heard and understand the probability behind it all. It’s all here, in writing you can understand. This is not a stuffy math book with definitions, axioms, theorems, and so on. This book meets you where you’re at and guides you to where you need to be for quantum computing. Already know some of this stuff? No problem! The book is componentized, so you can learn just the parts you want. And with tons of exercises and their answers, you'll get all the practice you need.

Who is this book for?

If you want to learn quantum computing but are unsure of the math involved, this book is for you. If you’ve taken high school math, you’ll easily understand the topics covered. And even if you haven’t, the book will give you a refresher on topics such as trigonometry, matrices, and vectors. This book will help you gain the confidence to fully understand quantum computation without losing you in the process!

What you will learn

Operate on vectors (qubits) with matrices (gates)

Define linear combinations and linear independence

Understand vector spaces and their basis sets

Rotate, reflect, and project vectors with matrices

Realize the connection between complex numbers and the Bloch sphere

Determine whether a matrix is invertible and find its eigenvalues

Probabilistically determine the measurement of a qubit

Tie it all together with bra-ket notation

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Quantum Machine Learning and Optimisation in Finance

$59.99

$65.99

Essential Mathematics for Quantum Computing

$29.99

Total $ 155.97

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Omar Al Hathaf Jul 31, 2024

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THEODOROS ZAFEIRIDIS May 20, 2024

perfect

joey Dec 21, 2023

Wow what a wonderful book with such relevant content! Much material from my younger engineering education and is a nice well organized volume for review of the old plus much new material needed for my understanding of the quantum computing process. As a retired engineer with much interest in computer science today, I have purchased about dozen quantum related books prior to getting this one which is proving to help solve my immediate hurdles with the needed math in the quantum computing path.

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Nostromo500 Aug 17, 2022

This book is very well written and has great figures and examples. A must-read and a good reference book on quantum mathematics.

Colleen Apr 24, 2022

This book is an excellent overview of the linear algebra central to quantum circuits and quantum algorithms. Woody dives into the topics with clear examples, diagrams/images, and practice problems and covers the bulk of linear algebra and abstract algebra needed for an introductory quantum mechanics course. Readers will come away with enough of the math behind quantum computing to start a course in it.However, Woody doesn't always relate the material back to quantum computing, so those looking for a book on quantum computing might want to purchase a companion book as they work through the math in Woody's book.It would also serve as a great linear algebra course companion for students struggling with a linear algebra textbook. The explanations are clear and concise, and practice problems add to the understanding of concepts.

Essential Mathematics for Quantum Computing: A beginner's guide to just the math you need without needless complexities

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Essential Mathematics for Quantum Computing: A beginner's guide to just the math you need without needless complexities

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