- Gebundene Ausgabe: 396 Seiten
- Verlag: Simon & Schuster; Auflage: First Edition (1. Dezember 1999)
- Sprache: Englisch
- ISBN-10: 0684814811
- ISBN-13: 978-0684814810
- Größe und/oder Gewicht: 16,5 x 3,2 x 25,4 cm
- Durchschnittliche Kundenbewertung: 3 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 691.076 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Minds, Machines and the Multiverse: The Quest for the Quantum Computer (Englisch) Gebundenes Buch – 1. Dezember 1999
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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
Charles H. Bennett IBM Fellow, Thomas J. Watson Research CenterAn eminently readable account of recent developments in quantum information science, their philosophical implications, and what (if any) relation quantum mechanics might have to human consciousness.Alle Produktbeschreibungen
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for the professional.
An astounding composition.
And obviously Julian Browns Minds, Machines and
the Multiverse is such a book. If you want
an accessible guide to the rapidly evolving field
of quantum computers, this is the book to buy.
Brown bedazzle the reader with the number of ideas
he comes up with on almost every page. All ideas somehow
connected under the headline Quantum Computers.
Quantum computing seems to connect computing and
physics in an explosive way. Thought, life and knowledge
these are computational things, whereas the
universe in at its most fundamental level is
physics. So obviously there is a lot to talk about.
And the book does so very elegantly, without ever
loosing track of the fact that this is a book
about quantum computers.
Starting the book I was a bit worried that the book
wouldn't provide a sufficient level of detail about
the quantum computers and instead indulge in
too much speculation. After reading the book I think
it balances factual information with speculation
Ok, Some might want to obtain additional details on
Peter Shors way to factor numbers efficiently on
a quantum computer. The intricacies of NP-complete
problems and quantum computers could have been
explored more. Some of the circuit analysis
could have been dealt with in even greater detail.
And why not write a complete book on competing
technologies for how to build an actual quantum
computer with actual live qubits?
But I guess the book wouldn't have been such a
fine introduction then. Now, The presentation is well
balanced and demonstrates a thorough grasp over
all the many details in the field of quantum computing.
Fascinating general insights on math, computing
and physics makes it a great and insightful read.
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.