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Nihal Mehta Ph. D. - Quantum Computing: Program Next-Gen Computers for Hard, Real-World Applications

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Nihal Mehta Ph. D. Quantum Computing: Program Next-Gen Computers for Hard, Real-World Applications
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Youve heard that quantum computing is going to change the world. Now you can check it out for yourself. Learn how quantum computing works, and write programs that run on the IBM Q quantum computer, one of the worlds first functioning quantum computers. Learn a simple way to apply quantum mechanics to computer programming. Create algorithms to solve intractable problems for classical computers, and discover how to explore the entire problem space at once to determine the optimal solution. Get your hands on the future of computing today.

Quantum computing overhauls computer science. Problems such as designing life-saving drugs and super-large logistics problems that have been difficult or impossible for classical computers to handle can now be solved in moments. Quantum computing makes it possible to explore all possible solutions simultaneously and determine those that work, instead of iterating through each possibility sequentially. Work with quantum computers directly, instead of talking about them theoretically.

Discover a new visual way of looking at quantum bits that makes quantum computing intuitive for computer programmers. Master the special properties that make them different, and more powerful, than classical bits. Control quantum bits with gates and create circuits to model complex problems. Write programs that run on real quantum machines to solve problems that classical computers struggle with. Dive into quantum optimization and cryptography.

Get a head start on the technology that will drive computer science into the future.

What You Need:

Access to the IBM quantum computer, via any internet connection

Nihal Mehta Ph. D.: author's other books


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Quantum Computing
Program Next-Gen Computers for Hard, Real-World Applications
by Nihal Mehta, Ph.D.
Version: P1.0 (August 2020)

Copyright 2020 The Pragmatic Programmers, LLC. This book is licensed to the individual who purchased it. We don't copy-protect it because that would limit your ability to use it for your own purposes. Please don't break this trustyou can use this across all of your devices but please do not share this copy with other members of your team, with friends, or via file sharing services. Thanks.

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf and the linking g device are trademarks of The Pragmatic Programmers, LLC.

Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein.

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Table of Contents
Copyright 2020, The Pragmatic Bookshelf.
Early Praise for Quantum Computing

Youll remember shaking your head when someone tries to win a metaphysical argument with recourse to quantum physics. I call it the countdown to quantum. While you wont win those arguments with this book, youll learn about what quantum computing really consists of and that its not the infinite speed classical computer of popular opinion. I know nothing of the technical challenges of building quantum hardware, but there will be a corresponding challenge finding programmers competent in these skills. This book excels at teaching the necessary concepts.

Nigel Lowry
Director, Lemmata

Truly scintillating. Professor Mehtas Quantum Computing opened my eyes to a beautiful new world of practical probabilistic programming.

Ross Henderson
CEO, CAREM, a geospatial epidemiology company

Quantum computing has a reputation for being tricky and often tangled up in complex maths; even its basic building blocks can run counter to our everyday understanding of the world. This book takes a different approach to describing quantum phenomena thats much easier to initially grasp and then goes into how we can use it to build programs, giving us an abstraction that is actually useful back in the real world. Starting from the basics of quantum states and working up to building real programs using quantum computers, this book covers it all. Its even got some maths if you miss that.

Tim Nugent
Owner, Lonely.Coffee

No other book teaches the fundamentals so clearly. I cant imagine beginning quantum programming without this book.

Nick Watts
Software Engineer, CAS, a division of the American Chemical Society

Preface

Richard Feynman, a Nobel Laureate, first postulated a computer rooted in the laws of quantum mechanics that govern the behavior of subatomic particles such as muons, gluons, quarks, and bosons. Its a theory that strains credulity at every turnits bizarre concepts jar against everyday experience. A long line of distinguished quantum physicists from Niels Bohr to Albert Einstein and Richard Feynman have been exasperated by the very theory they helped create. Yet, surprisingly, the theory has correctly predicted every phenomenon that physicists have thrown at it. These same principles now have their sights trained on digital computing. For the first time since Eniac, the modern computer built at the University of Pennsylvania in 1946, the underlying fabric of computing is threatened: bits, with their rigid and states, are replaced with fluid units that seemingly exist in both states simultaneously, giving us unprecedented ways to tackle challenging computational tasks. Quantum mechanics is the most spectacular theory ever put forth, and we are going to latch onto its coattails to learn about quantum computing and how its challenging the notions of conventional computing.

I first got interested in quantum computing years ago when I was exploring ways to squeeze better performance from the mathematical-based computer models that I was tasked with building for some of the worlds largest organizations. Time and again, though the computer models would return acceptable solutions, I couldnt get them to do even better. Its like the models hit a wall. Quantum mechanical concepts such as tunneling seemed to offer a way to punch through the barrier. But quantum mechanics is strange, and it was far from clear how to model computational tasks using subatomic particles. I created paper models to help make sense of the counter-intuitive quantum mechanics concepts. But, with no real quantum hardware to validate the models, they remained untested ideas that I filed away.

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