Minds, Machines, and the Multiverse: The Quest for the Quantum Computer (Hardcover)

~ Julian Brown (Author) "Gaunt, hair unkempt, and skin a ghostly shade, David Deutsch cuts a strange figure even by the standards of the eccentrics and oddballs that so..." (more)
Key Phrases: quantum bit commitment, top qubit, quantum program, David Deutsch, Charles Bennett, Artur Ekert (more...)

Editorial Reviews

Amazon.com Review

Just how smart can computers get? Science journalist Julian Brown takes a hard look at the spooky world of quantum computation in Minds, Machines, and the Multiverse--and his report is optimistic. Based in large part on the groundbreaking work of David Deutsch, the book mostly sidesteps the shouting matches of the AI debate and instead explores the history of computation and quantum theory before turning to the exciting advances likely to come out of their merger. While some readers might cringe at the blithe dismissal of classical computing as a relic, Brown shows us why quantum computing is faster and more powerful, and is a good candidate for replacing its predecessor.

The author doesn't pull any mathematical punches, but injects enough humor and personalization into his writing to keep the book from crumbling to dust. Indeed, portraits of such luminaries as Deutsch and Feynman are more engaging than those found in some biographies and are enlightening on their own. But the real power and charm of Brown's prose lie in its straightforward explanation of the arcane details of the multiple-worlds theory, "qubits," and quantum logic in language any informed reader can understand. There are more questions than answers in Minds, Machines, and the Multiverse, but the questions are profoundly satisfying all by themselves. --Rob Lightner

From Publishers Weekly

Computers get faster as microprocessors get smaller and denser, requiring fewer subatomic particles to toggle between zero and one. When silicon chips rely on single electrons, will computing power have hit a wall? Or will the future's computers use quantum properties to acquire undreamt-of powers? In this intriguing, fast-moving book, Brown (a longtime writer for Britain's prestigious New Scientist) asks those questions, shuttling among the physics, mathematics and information theory that would enable quantum computing, and the practical, technical work required to make it happen. He considers the class of quantum computing roadblocks that involves heat disposal, introduces us to "complexity theory," something called "decoherence" and "ion traps" (the closest step yet to a quantum computer that works; research into it is currently taking place under the auspices of America's National Security Administration). Brown also profiles quantum-computer theorist David Deutsch--an engagingly eccentric Oxford physicist--as well as such famous scientists as Richard Feynman and IBM's Charles Bennett (who figured out how, "in theory," "one can compute using no energy at all"). The English-speaking world has plenty of books explaining computers, quantum theory and the attendant wacky philosophical implications, but Brown transcends these categories, showing how physics relates to computation and how their alliance affects the future of both. His enthusiastic, patient explanations of fairly difficult mathematics distinguishes his book. Illustrations. (Mar.)
Copyright 2000 Reed Business Information, Inc.

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Product Details

• Hardcover: 400 pages
• Publisher: Simon & Schuster; 1 edition (March 23, 2000)
• Language: English
• ISBN-10: 0684814811
• ISBN-13: 978-0684814810
• Product Dimensions: 9.2 x 6.1 x 1.3 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 4.1 out of 5 stars  See all reviews (23 customer reviews)
• Amazon.com Sales Rank: #1,558,603 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

25 of 26 people found the following review helpful:

5.0 out of 5 stars Mind-blowing!, May 7, 2000

By	arnold trent (New York) - See all my reviews

A wonderful overview of the history and science of this extraordinary new discipline. Brown's documentary approach interlaces explanations of quantum computers with comments from the pioneers of this field including David Deutsch and Richard Feynman. It makes for riveting reading with many witty asides thrown into some far-sighted discussions of where the subject is leading. David Deutsch comes across as a true visionary even if his ideas concerning multiple universes sound far-fetched. Rather like Penrose's, "The Emperor's New Mind", Brown caters for multiple tastes by writing for a general audience but adding (mostly in appendices) some mathematical explanations and circuit diagrams. These can be can be safely skipped without losing the narrative thread. A pity to do so though because his explanations are a delight. Thoroughly recommended.

13 of 14 people found the following review helpful:

2.0 out of 5 stars Important topic marred by dull presentation, May 26, 2002

By	D. Cloyce Smith (Brooklyn, NY) - See all my reviews (TOP 500 REVIEWER)

This review is from: Quest for the Quantum Computer (Paperback)

I read "Minds, Machines, and the Multiverse" (reprinted in paperback as "The Quest for the Quantum Computer") alongside David Deutsch's "The Fabric of Reality," thinking that Julian Brown's journalism would help elucidate Deutsch's text, which I assumed would be more difficult. Ironically, not only did I find "The Fabric of Reality" far more exciting and readable, but, even on its own terms, Brown's book was often monotonous and unimaginative.

While the first and last chapters are quite fascinating, the meat of the book reads like an endless serious of abstracts of articles excerpted from mathematical, physics, and computing journals, separated by droll subheads ("Beam Me Up, Atom by Atom"). The major problem is that Brown doesn't seem to have any particular audience in mind. On the one hand, it's hard to imagine most lay readers sitting through his detailed expositions on various mathematics and physics concepts; on the other, math-savvy readers don't need to be told (to cite just one example) what ASCII is.

It's not just that Brown's book is knee-deep in mathematics, however. In fact, the math presented is really not that difficult--it's just boringly presented. The endless series of Alice, Bob, Carol, and Eve stories has all the verve of the litany of questions on the SAT. (Several times I found myself asking, "Which Bob is this?"). Likewise, the descriptions of logic gates are about as exciting as my college textbooks on linear algebra and number theory. Brown's presentation is hampered further by the lack of a glossary; he repeatedly expects the reader to remember terms he discussed over 100 pages earlier.

In sum, computer programmers and armchair mathematicians looking for a primer on the theoretical underpinnings of quantum computation might find this book a helpful introduction. The general reader, however, will have to wait for a well-written overview of the subject. In the meantime, I recommend "The Fabric of Reality" as a starting point.

10 of 11 people found the following review helpful:

2.0 out of 5 stars A book I really wanted to like..., March 23, 2002

By	Scott Wheeler (Heidelberg, Germany) - See all my reviews

But didn't. It tries really hard and has a noble goal, but I think falls quite short. This is a topic that I am quite passionate about and was one of the first books on the topic. At the end of reading this book you will have very many more questions and unfortunately very few clear ideas about the workings or theory of quantum computers. Over and again Brown stops just before giving you the details that you hope for. I've actually found David Deutsch's papers on quantum computing (at qubit.org) almost as accessibe and much more informative than this book, not to mention that they are much more concise.

If you're hoping to get a basic grasp of quantum computing, read John Gribben's "In Search of Schrödinger's Cat" for a non-technical crash course in quantum mechanics and then head for the scientific papers.

This book fails to gauge what a reader will be able to understand. This is a difficult task at times, but when writing "popular science" the author must choose a level to present the material at. Unfortunately in parts that aren't particularly interesting the author pushes this only to retreat at a point where things are getting interesting. You're left feeling, "No, really. I can take it!"