From Amazon
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.)
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