9781801070188_

Demystify quantum computing by learning the math it is built on

Key Features

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

Book Description

Starting with the most basic of concepts, 2D vectors that are just line segments in space, youll 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, youll see how they go hand in hand. As you advance, youll understand intrinsically what a vector is and how to transform vectors with matrices and operators. Youll also see how complex numbers make their voices heard and understand the probability behind it all.

Its 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 youre 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, youll 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

Who this book is for

If you want to learn quantum computing but are unsure of the math involved, this book is for you. If youve taken high school math, youll easily understand the topics covered. And even if you havent, 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!

...(*_*)9781801070188_

Demystify quantum computing by learning the math it is built on

Key Features

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

Book Description

Quantum computing is an exciting subject that offers hope to solve the worlds 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, youll 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, youll see how they go hand in hand. As you advance, youll understand intrinsically what a vector is and how to transform vectors with matrices and operators. Youll also see how complex numbers make their voices heard and understand the probability behind it all. Its 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 youre 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, youll 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

Who this book is for

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Essential Mathematics for Quantum Computing

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