Quantum Computing for Everyone

Quantum Computing for Everyone
Author :
Publisher : MIT Press
Total Pages : 214
Release :
ISBN-10 : 9780262039253
ISBN-13 : 0262039257
Rating : 4/5 (257 Downloads)

Book Synopsis Quantum Computing for Everyone by : Chris Bernhardt

Download or read book Quantum Computing for Everyone written by Chris Bernhardt and published by MIT Press. This book was released on 2019-03-19 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader. Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. Bernhardt, a mathematician himself, simplifies the mathematics as much as he can and provides elementary examples that illustrate both how the math works and what it means. Bernhardt introduces the basic unit of quantum computing, the qubit, and explains how the qubit can be measured; discusses entanglement—which, he says, is easier to describe mathematically than verbally—and what it means when two qubits are entangled (citing Einstein's characterization of what happens when the measurement of one entangled qubit affects the second as “spooky action at a distance”); and introduces quantum cryptography. He recaps standard topics in classical computing—bits, gates, and logic—and describes Edward Fredkin's ingenious billiard ball computer. He defines quantum gates, considers the speed of quantum algorithms, and describes the building of quantum computers. By the end of the book, readers understand that quantum computing and classical computing are not two distinct disciplines, and that quantum computing is the fundamental form of computing. The basic unit of computation is the qubit, not the bit.


Quantum Computing for Everyone Related Books

Quantum Computing for Everyone
Language: en
Pages: 214
Authors: Chris Bernhardt
Categories: Computers
Type: BOOK - Published: 2019-03-19 - Publisher: MIT Press

DOWNLOAD EBOOK

An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general rea
Computing Nature
Language: en
Pages: 268
Authors: Gordana Dodig-Crnkovic
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is about nature considered as the totality of physical existence, the universe, and our present day attempts to understand it. If we see the universe
Nature-Inspired Computation and Swarm Intelligence
Language: en
Pages: 442
Authors: Xin-She Yang
Categories: Technology & Engineering
Type: BOOK - Published: 2020-04-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, sof
Nature-Inspired Computing and Optimization
Language: en
Pages: 506
Authors: Srikanta Patnaik
Categories: Technology & Engineering
Type: BOOK - Published: 2017-03-07 - Publisher: Springer

DOWNLOAD EBOOK

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is
Handbook of Nature-Inspired and Innovative Computing
Language: en
Pages: 758
Authors: Albert Y. Zomaya
Categories: Computers
Type: BOOK - Published: 2006-01-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks,