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    Database Internals Alex Petrov. Data-Driven Design Rochelle King. Reactive Application Development Duncan Devore. Table of contents 1.

    Atoms and the void; 2. Sets; 3. Goedel, Turing, and friends; 4. Minds and machines; 5. Paleocomplexity; 6. P, NP, and friends; 7. Randomness; 8. Crypto; 9. Quantum; Quantum computing; Penrose; Decoherence and hidden variables; Proofs; How big are quantum states? Skepticism of quantum computing; Learning; Interactive proofs and more; Fun with the Anthropic Principle; Free will; Time travel; Cosmology and complexity; Ask me anything. Review Text '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. Review quote '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? 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.

    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. 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. 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. 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. For every one of these diverse topics, the author has something insightful and thought provoking to say. Naturally, this is not a book that can be read quickly, and it is definitely worth repeated reading. The work will make readers think about a lot of subjects and enjoy thinking about them. It definitely belongs in all libraries, especially those serving general readers or students and practitioners of computer science or philosophy.

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    Quantum Computing since Democritus

    Bharath, Choice ' It should prove valuable to anyone interested in computational complexity, quantum mechanics, and the theory of quantum computing. His witty, informal writing style makes the material approachable as he weaves together threads of complexity theory, computing theory, mathematical logic, and the math and physics of quantum mechanics QM and quantum computing to show how these topics interrelate to each other, what that says about the universe, and something about us Mayforth, Computing Reviews "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?

    Aaronson raises deep questions of how the physical universe is put together and why it is put together the way it is.


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    Aaronson 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. It's targeted to readers with a reasonably strong grounding in physics, so it's not exactly a light read Bharath, Choice " Mayforth, Computing Reviews show more.

    Professor Aaronson also created Complexity Zoo, an online encyclopedia of computational complexity theory and has written popular articles for Scientific American and The New York Times. Waterman Award. Atoms and the void; 2. Sets; 3.