Essential Mathematics for Quantum Computing: A beginner's guide to just the math you need without needless complexities
Author: Leonard S. Woody III
Publisher Finelybook 出版社：Packt Publishing (April 22, 2022)
pages 页数：252 pages
Demystify quantum computing Author: learning the math it is built on
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
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.
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