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Quantum Computing since Democritus [Kindle Edition]

Scott Aaronson
4.5 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)

Kindle-Preis: EUR 17,98 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Produktbeschreibungen

Pressestimmen

'Scott Aaronson has written a beautiful and highly original synthesis of what we know about some of the most fundamental questions in science: what is information? What does it mean to compute? What is the nature of mind and of free will? Highly recommended.' Michael Nielsen, author of Reinventing Discovery

'I laughed, I cried, I fell off my chair - and that was just reading the chapter on Computational Complexity. Aaronson is a tornado of intellectual activity: he rips our brains from their intellectual foundations; twists them through a tour of physics, mathematics, computer science, and philosophy; stuffs them full of facts and theorems; tickles them until they cry 'Uncle'; and then drops them, quivering, back into our skulls. [He] raises deep questions of how the physical universe is put together and why it is put together the way it is. While we read his lucid explanations we can believe - at least while we hold the book in our hands - that we understand the answers, too.' Seth Lloyd, Massachusetts Institute of Technology and author of Programming the Universe

'Not since Richard Feynman's Lectures on Physics has there been a set of lecture notes as brilliant and as entertaining. Aaronson leads the reader on a wild romp through the most important intellectual achievements in computing and physics, weaving these seemingly disparate fields into a captivating narrative for our modern age of information. [He] wildly runs through the fields of physics and computers, showing us how they are connected, how to understand our computational universe, and what questions exist on the borders of these fields that we still don't understand. This book is a poem disguised as a set of lecture notes. The lectures are on computing and physics, complexity theory and mathematical logic and quantum physics. The poem is made up of proofs, jokes, stories, and revelations, synthesizing the two towering fields of computer science and physics into a coherent tapestry of sheer intellectual awesomeness.' Dave Bacon, Google

'… how can I adequately convey the scope, erudition, virtuosity, panache, hilarity, the unabashed nerdiness, pugnacity, the overwhelming exuberance, the relentless good humor, the biting sarcasm, the coolness and, yes, the intellectual depth of this book?' SIGACT News

'It is the very definition of a Big Ideas Book. … It's targeted to readers with a reasonably strong grounding in physics, so it's not exactly a light read, despite Aaronson's trademark breezy writing style. But for those with sufficient background, or the patience to stick with the discussion, the rewards will be great.' Sean Carroll and Jennifer Ouellette, Cocktail Party Physics, Scientific American blog

Über das Produkt

Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Aaronson's informal style makes this book a fascinating read for students and researchers working in physics, computer science, mathematics and philosophy.

Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 1855 KB
  • Seitenzahl der Print-Ausgabe: 401 Seiten
  • ISBN-Quelle für Seitenzahl: 0521199565
  • Gleichzeitige Verwendung von Geräten: Bis zu 4 Geräte gleichzeitig, je nach vom Verlag festgelegter Grenze
  • Verlag: Cambridge University Press; Auflage: 1 (21. März 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00B4V6IZK
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Durchschnittliche Kundenbewertung: 4.5 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: #92.188 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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4.5 von 5 Sternen
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Die hilfreichsten Kundenrezensionen
5.0 von 5 Sternen schönes Buch 28. September 2013
Format:Taschenbuch|Verifizierter Kauf
verständlich, auch für Laien mit wenig Mathematischen Hintergrund, einfach geschrieben, und selbst wenn es zu den Formeln kommt immer gut erklärt
War diese Rezension für Sie hilfreich?
4.0 von 5 Sternen unterhaltsame Lektüre 25. Juni 2013
Format:Taschenbuch|Verifizierter Kauf
Das Buch ist sehr unterhaltsam und daher zumeist kurzweilig. Wer sich für das Thema interessiert, dürfte ebenfalls auf seine Kosten kommen. Jedenfalls ist alleine die Einführung der Quantenmechanik über negative Wahrschinlichkeiten, die Scott Aaronson auf gerade mal zwei Seiten unterbringt, absolut lesenswert. Sehr wertvoll sind meiner Meinung nach die vielen Verweise auf Internetseiten, die hunderte Seiten an Zusatzlektüre zu den angeschnittenen Themen beherbergen.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 4.5 von 5 Sternen  26 Rezensionen
33 von 34 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Witty and erudite - but still lecture notes 17. Oktober 2013
Von Nigel Seel - Veröffentlicht auf Amazon.com
Format:Taschenbuch
If you're a computational complexity theorist, then everything looks like .. well, a problem in computational complexity. Scott Aaronson is astonishingly bright, on top of his subject and genuinely droll: this book gives you a fly-on-the-wall view of how he engaged with his students at the University of Waterloo.

We start with a tour of prerequisites. Chapter 2 covers axiomatic set theory (ZF); chapter 3 Gödel's Completeness and Incompleteness Theorems, and Turing Machines. In chapter 4 we apply some of these ideas to artificial intelligence, discuss Turing's Imitation Game and the state of the art in chatbots, and also Searle's Chinese Room puzzle. Aaronson invariably provides a fresh perspective on these familiar topics although already we see the `lecture note' character of this book, where details are hand-waved over (because the students already know this stuff, or they can go away and look it up).

Chapters 5 and 6 introduce us to the elementary computation complexity classes and explain the famous P not = NP conjecture. This is not a first introduction - you are assumed to already understand formal logic and concepts such as clauses, validity and unsatisfiability. Chapters 7 and 8 introduce, by way of a discussion on randomness and probabilistic computation, a slew of new complexity classes and the hypothesised relations between them, applying some of these ideas to cryptanalysis.

Chapter 9 brings us to quantum theory. Six pages in we're talking about qubits, norms and unitary matrices so a first course on quantum mechanics under your belt would help here. The author's computer science take on all this does bring in some refreshing new insights. We're now equipped, in chapter 10, to talk about quantum computing. Typically this is not architecture or engineering discussion; Aaronson is a theorist, and for his community, quantum computing means a new set of complexity classes with conjectural relationships to those of classical computation.

We now go off at a tangent as the author critiques Sir Roger Penrose's views on consciousness as a quantum gravity phenomenon. I think it's fair to say that no-one in AI takes this idea seriously, but the author has the intellectual resources to engage Penrose on his own ground here.

In chapter 12 we crank up the technical level to talk about decoherence and hidden variable theories. This is one of the most interesting chapters but is too discursive - really important concepts are touched on and then abandoned; for example the discussion of decoherence and the 2nd Law of Thermodynamics is set against a model of the multiverse, but it's never quite clear whether Aaronson is assuming the reality of the Everett Interpretation or whether he has some other, more purely mathematical model in mind.

Chapter 12 reminds us that a computational complexity theorist's idea of proof is a long way from that of a logician. We plunge into stochastic proofs, zero-knowledge proofs and probabilistically checkable proofs, all framed by a complexity analysis.

The next few chapters cover a series of topics in similar vein: quantum proofs (and their complexity classes), rebuttals of sceptical arguments against quantum computing (interesting and convincing), some technically demanding material on learning algorithms, and concepts of interactive proof.

The final few chapters are more philosophical: Aaronson applies his toolkit to topics such as the Anthropic Principle (via Bayesian reasoning); free will (he's in favour but has a highly-idiosyncratic view of what free will is); time travel (how closed timelike curves impact on classical and quantum computation); and cosmology (black holes, the information paradox, with firewalls bringing us up-to-date).

I have to say that I did finish this book - it didn't just sit on my coffee table, abandoned after the first few chapters, as the author rather fears in his preface. However, it has to be said that despite the author's undeniable enthusiasm, complexity theory remains a minority taste. There are plenty of insights and novel observations even for those of us less enthralled but I hope it's clear what kind of background the reader needs to get anything out of this volume.

To be fair, the book is already 362 pages long and to make the material less a write-up of post-graduate lecture notes and more a self-contained and smoothly-developed presentation of Aaronson's many original insights would seem to require an inordinate amount of time and effort, without substantially increasing the likely readership. I enjoyed it, but not without a degree of frustration.
37 von 44 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The Feynman Lectures For Quantum Computing 30. März 2013
Von Andrew Hickey - Veröffentlicht auf Amazon.com
Format:Kindle Edition
To start with, I must say I'm an absolute layman when it comes to the subjects Aaronson is writing about here -- I'm a writer and software engineer, and my knowledge of physics and computer science comes from popularisations only.

That said, this is an absolutely marvelous introduction to what Aaronson refers to as quantitative epistemology. Aaronson here provides a basic overview of some of the most important concepts in the areas where mathematics, computation and physics meet, in an easy, comprehensible style. If you're interested in quantum mechanics, Turing machines, Godel's incompleteness theorem, or the P vs NP question, you'll find the best explanations I've seen in here.

The lectures on which this is based are all available on Aaronson's website for free, and I have read them many times over the years, but the book goes into more depth and holds together better, while keeping the humour of the originals.

This is not an easy-going book -- it requires work from the reader to follow, and you won't get all of it the first time. But nor is it an academic textbook -- there is some mathematics in it, but anyone who remembers fairly basic things like matrix multiplication should be fine following it.

In the title of this review I call it the Feynman Lectures for QC, and while it's nowhere near as thorough as that great work, it manages the rare feat of being both as clear and entertaining and as scientifically rigorous.

If you have any doubt as to whether this is the book for you or not, the lecture notes are still available to read for free on Aaronson's website. But I guarantee that if you have any interest at all in the most basic building blocks of our knowledge -- what we really know, deep down, about the way things work on the most fundamental level, you will not be disappointed in this book.
23 von 28 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Tough but mind-expanding 30. März 2013
Von Luca turin - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
Those familiar with Scott Aaronson's "shtetl-optimized" blog will love this book, because it is -unsurprisingly- written in the same mood which I would describe as didactic frenzy. Reading it, you get the feeling that if Aaronson were in the same room as you and got the impression you did not understand a particular point, he would instantly come up with another five ways of explaining it until you got it, and you would get no supper or sleep until that happened. Personally, I think people like that are sufficiently rare and precious that they should be made National Monuments, as some potters and swordsmiths apparently are in Japan. Aaronson so perfectly expresses the peculiar ozonic air of quantum information theory, a weird and unexpected mixture of cosmos-sized questions with little machines outputting tapes of ones and zeroes, that you will get a thrill reading this book even if you understand nothing. I understood about 5% on first pass and thought it wonderful. I hope to bring that up to 25% over the next few years and would be well pleased if that happened.
17 von 22 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The Epiphany of Quantum Computing 31. März 2013
Von A. Gutfraind - Veröffentlicht auf Amazon.com
Format:Kindle Edition
If you take a conventional course in quantum computing, you might come to believe that the field is populated by a strange sort of people: they are preoccupied with freezing atoms in a tank just to add two plus two. Solving useful problems is an impossible dream for the foreseeable future, and so this field appears to have the same relevance to humanity, as oil drilling was to the neanderthals. But you would be wrong. As Dr. Aaronson shows, Quantum Computing raises the most central problems in one of the most exciting developments in modern science: the quest to unify Physics and Computation. The field is new, but we are incomparably closer to the answers than we were just 40 years ago.

This is book is unique - the problems are explained through a Socratic method, discussing with you, the reader, the problems and solutions with minimal jargon, and sparing use of notation.
(I wish more books were like it!) Each chapter opens with naive questions that lead to increasingly deep questions, and ultimately the open problems. You will find yourself fully understanding the foundations of the field, comprehending its achievements, but also, in a way, sitting on the shoulders of giants, as they are scratching their heads.
10 von 13 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Science as it should be done 30. März 2013
Von JT - Veröffentlicht auf Amazon.com
Format:Kindle Edition
Aaronson's book is an amazing tour into some of the deepest concepts in math, science, philosophy. The book is an highly original attempt to expose a modern perspective on quantum mechanics, one that starts with probability theory and then naturally leads to the exciting field of quantum computing. In defending this neat, conceptually transparent approach, the author leads us to explore seemingly unrelated topics in A.I., logic, set theory, computer science, and long-standing philosophical riddles: it's a mind-blowing experience to follow Aaronson's thread of thought as it unveils the subtle connections between these fields and the far-reaching implications of using the notion of (classical and QM) computation to better understand the structure of reality.
Finally, it should be noted the enormous effort to make this book a friendly reading: the volume is written in an engaging, no non-sense style, with humorous remarks that help a lot in going through the (sometime dense) arguments presented. Moreover, Aaronson never loses sight of the forest, even when making jokes about the tree: that is an invaluable, but very rare, quality for a scientist. All in all, a highly recommended reading for anyone interested in computability, physics and (why not?) philosophy (that is, anyone that is interested in good science at all).
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