Introduction to Classical and Quantum Computing (Rooted Grove)
Friday, 18 February 2022

This book is aimed at students who want to learn quantum computing beyond a conceptual level, but who lack advanced training in mathematics. The only prerequisite is trigonometry, and mathematics beyond that will be covered, including linear algebra. Dr Thomas G Wong begins with a significant overview of classical computing, from how they add numbers to their computational limits, and it mirrors many of the quantum computing topics that are covered later.

<ASIN:B09QP2ML3P>

The investigation of quantum computing begins with a single qubit and quantum gates acting on it, first using geometry and elementary algebra, and later using linear algebra. Computer algebra systems are utilized, and code for both Mathematica and SageMath is included. After one qubit, multi-qubit systems are covered, including how quantum computers add numbers, universal gate sets, and error correction.

Author: Dr Thomas G Wong
Publisher: Rooted Grove
Date: January 2022
Pages: 400
ISBN: 978-8985593105
Print: B09QP2ML3P
Audience: General
Level: Intermediate/Advanced
Category: Mathematics

introquant

This book is based on an introductory quantum computing course that has been taught at Creighton University since 2018.

A free e-book version can be downloaded from http://www.thomaswong.net/

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Mathematics for Machine Learning

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: Developers interested in machine learning
Rating: 3.5
Reviewer: Mike James
Lots of people need to learn the math behind mach [ ... ]



Python All-in-One, 2nd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2021
Pages: 720
ISBN: 978-1119787600
Print: 1119787602
Kindle: B091DGDLK8
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?


More Reviews