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Книги з теми "Universal quantum turing machine"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Rolf, Herken, ed. The universal turing machine: A half-century survey. Oxford: Oxford University Press, 1988.

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2

Herken, Rolf, ed. The Universal Turing Machine A Half-Century Survey. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6597-3.

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3

Herken, Rolf. The Universal Turing Machine A Half-Century Survey. Vienna: Springer Vienna, 1995.

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4

The universal computer: The road from Leibniz to Turing. Boca Raton, Fla: CRC Press, 2012.

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5

Rolf, Herken, ed. The Universal Turing machine: A half-centurysurvey. Oxford: Oxford University Press, 1988.

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6

Rolf, Herken, ed. The universal Turing machine: A half-century survey. 2nd ed. Wien: Springer-Verlag, 1995.

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7

Herken, Rolf. The Universal Turing Machine: A Half-Century Survey. Oxford University Press, USA, 1992.

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8

Rolf, Herken, ed. The universal Turing machine: A half-century survey. Wien: Springer-Verlag, 1994.

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9

Rolf, Herken, ed. The Universal Turing machine: A half-century survey. Oxford: Oxford University Press, 1988.

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10

Herken, Rolf. The Universal Turing Machine: A Half-Century Survey. Oxford University Press, USA, 1988.

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11

Herken, Rolf. The Universal Turing Machine: A Half-Century Survey (Computerkultur). 2nd ed. Springer, 1995.

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12

Herken, Rolf. The Universal Turing Machine: A Half-Century Survey (Computerkultur, Vol 2). 2nd ed. Springer-Verlag, 1994.

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13

Turing and the Universal Machine: The Making of the Modern Computer. Icon Books, Limited, 2017.

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14

Turing and the Universal Machine: The Making of the Modern Computer (Revolutions of Science). Totem Books, 2001.

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15

Copeland, B. J., ed. The Essential Turing. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198250791.001.0001.

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Анотація:

Alan Turing was one of the most influential thinkers of the 20th century. In 1935, aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled. At the outbreak of hostilities with Germany in September 1939, he joined the Government Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the version of Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as "Fish," which were used by the German High Command for the encryption of signals during the latter part of the war. His contribution helped to shorten the war in Europe by an estimated two years. After the war, his theoretical work led to the development of Britain's first computers at the National Physical Laboratory and the Royal Society Computing Machine Laboratory at Manchester University. Turing was also a founding father of modern cognitive science, theorizing that the cortex at birth is an "unorganized machine" which through "training" becomes organized "into a universal machine or something like it." He went on to develop the use of computers to model biological growth, launching the discipline now referred to as Artificial Life. The papers in this book are the key works for understanding Turing's phenomenal contribution across all these fields. The collection includes Turing's declassified wartime "Treatise on the Enigma"; letters from Turing to Churchill and to codebreakers; lectures, papers, and broadcasts which opened up the concept of AI and its implications; and the paper which formed the genesis of the investigation of Artifical Life.

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16

Ifrah, Georges. The universal history of computing: From the abacus to the quantum. Wiley, 2002.

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17

The Universal History of Computing: From the Abacus to the Quantum Computer. Wiley, 2000.

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18

Anderson, James A. Software. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0004.

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Анотація:

Digital computers are “protean” in that they can become almost anything through software. Their basic design elements came from a 19th-century British tradition in logic, exemplified by Boole and Babbage. It seemed natural to have logic realized in hardware. This tradition culminated in the work of Alan Turing who proposed a universal computing machine, now called a Turing machine, based on logic. Although hardware that computes logic functions lies at the core of digital hardware, low-level practical machine operations are grouped together in “words.” Programs are based on hardware operations controlling computation at the word level. This chapter presents a detailed example of what a computer does when it actually “computes.” Because human cognition finds it hard to use such an alien device, there is a brief discussion of how programming became “humanized” with the invention of software tools like assembly language and FORTRAN.

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19

Kockelman, Paul. Computation, Interpretation, and Mediation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.003.0006.

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Анотація:

The chapter shows the fundamental importance of ideas from computer science to the concerns of linguistic anthropology (and to the concerns of culture-rich and context-sensitive approaches to communication more generally). It reviews some of the key concepts and claims of computer science (language, recognition, automaton, Universal Turing Machine, and so forth). It argues that the sieve, as both a physical device and an analytic concept, is of fundamental importance not just to anthropology, but also to linguistics, biology, philosophy, and critical theory. And it argues that computers, as both engineered and imagined, are essentially text-generated and text-generating sieves. In relating computer science to linguistic anthropology, this chapter also attempts to build bridges between long-standing rivals: face to face interaction and mathematical abstraction, linguistic relativity and universal grammar, mediators and intermediaries.

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20

Heng, Liao, and Bill McColl, eds. Mathematics for Future Computing and Communications. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009070218.

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Анотація:

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.

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21

Di Ventra, Massimiliano. MemComputing. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192845320.001.0001.

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Анотація:

From the originator of MemComputing comes the very first book on this new computing paradigm that employs time non-locality (memory) to both process and store information. The book discusses the rationale behind MemComputing, its theoretical foundations, and wide-range applicability to combinatorial optimization problems, Machine Learning, and Quantum Mechanics. The book is ideal for graduate students in Physics, Computer Science, Electrical Engineering, and Mathematics as well as researchers in both academia and industry interested in unconventional computing. The author relies on extensive margin notes, important remarks, and several artworks to better explain the main concepts and clarify all the jargon, making the book as self-contained as possible. The reader will be guided from the basic notions to the more advanced ones with a writing style that is always clear and engaging. Along the way, the reader will appreciate the advantages of this computing paradigm and the major differences that set it apart from the prevailing Turing model of computation, and even Quantum Computing.

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