Lectures On Computation

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Feynman Lectures On Computation
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Author : Tony Hey
language : en
Publisher: CRC Press
Release Date : 2023-05-18
Feynman Lectures On Computation written by Tony Hey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-18 with Science categories.
The last lecture course that Nobel Prize winner Richard P. Feynman gave to students at Caltech from 1983 to 1986 was not on physics but on computer science. The first edition of the Feynman Lectures on Computation, published in 1996, provided an overview of standard and not-so-standard topics in computer science given in Feynman’s inimitable style. Although now over 20 years old, most of the material is still relevant and interesting, and Feynman’s unique philosophy of learning and discovery shines through. For this new edition, Tony Hey has updated the lectures with an invited chapter from Professor John Preskill on “Quantum Computing 40 Years Later”. This contribution captures the progress made toward building a quantum computer since Feynman’s original suggestions in 1981. The last 25 years have also seen the “Moore’s law” roadmap for the IT industry coming to an end. To reflect this transition, John Shalf, Senior Scientist at Lawrence Berkeley National Laboratory, has contributed a chapter on “The Future of Computing beyond Moore’s Law”. The final update for this edition is an attempt to capture Feynman’s interest in artificial intelligence and artificial neural networks. Eric Mjolsness, now a Professor of Computer Science at the University of California Irvine, was a Teaching Assistant for Feynman’s original lecture course and his research interests are now the application of artificial intelligence and machine learning for multi-scale science. He has contributed a chapter called “Feynman on Artificial Intelligence and Machine Learning” that captures the early discussions with Feynman and also looks toward future developments. This exciting and important work provides key reading for students and scholars in the fields of computer science and computational physics.
Lectures On Computation
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Author : Richard P. Feynman
language : en
Publisher: Addison-Wesley Longman
Release Date : 1996-09-08
Lectures On Computation written by Richard P. Feynman and has been published by Addison-Wesley Longman this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-08 with Computers categories.
Covering the theory of computation, information and communications, the physical aspects of computation, and the physical limits of computers, this text is based on the notes taken by one of its editors, Tony Hey, on a lecture course on computation given b
Feynman Lectures On Computation
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Author : Richard Phillips Feynman
language : en
Publisher: CRC Press
Release Date : 2023
Feynman Lectures On Computation written by Richard Phillips Feynman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Science categories.
The last lecture course that Nobel Prize winner Richard P. Feynman gave to students at Caltech from 1983 to 1986 was not on physics but on computer science. The first edition of the Feynman Lectures on Computation, published in 1996, provided an overview of standard and not-so-standard topics in computer science given in Feynman's inimitable style. Although now over 20 years old, most of the material is still relevant and interesting, and Feynman's unique philosophy of learning and discovery shines through. For this new edition, Tony Hey has updated the lectures with an invited chapter from Professor John Preskill on "Quantum Computing 40 Years Later". This contribution captures the progress made toward building a quantum computer since Feynman's original suggestions in 1981. The last 25 years have also seen the "Moore's law" roadmap for the IT industry coming to an end. To reflect this transition, John Shalf, Senior Scientist at Lawrence Berkeley National Laboratory, has contributed a chapter on "The Future of Computing beyond Moore's Law". The final update for this edition is an attempt to capture Feynman's interest in artificial intelligence and artificial neural networks. Eric Mjolsness, now a Professor of Computer Science at the University of California Irvine, was a Teaching Assistant for Feynman's original lecture course and his research interests are now the application of artificial intelligence and machine learning for multi-scale science. He has contributed a chapter called "Feynman on Artificial Intelligence and Machine Learning" that captures the early discussions with Feynman and also looks toward future developments. This exciting and important work provides key reading for students and scholars in the fields of computer science and computational physics.
Feynman And Computation
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Author : Anthony Hey
language : en
Publisher: CRC Press
Release Date : 2018-03-08
Feynman And Computation written by Anthony Hey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-08 with Science categories.
Computational properties of use to biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.
Feynman Lectures On Computation
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Author : Richard P. Feynman
language : en
Publisher: CRC Press
Release Date : 2018-07-03
Feynman Lectures On Computation written by Richard P. Feynman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-03 with Science categories.
When, in 1984?86, Richard P. Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a ?Feynmanesque? overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers.
Quantum Computing Since Democritus
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Author : Scott Aaronson
language : en
Publisher: Cambridge University Press
Release Date : 2013-03-14
Quantum Computing Since Democritus written by Scott Aaronson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Takes students and researchers on a tour through some of the deepest ideas of maths, computer science and physics.
Most Of The Good Stuff
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Author : Richard Phillips Feynman
language : en
Publisher: A I P Press
Release Date : 1993
Most Of The Good Stuff written by Richard Phillips Feynman and has been published by A I P Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Biography & Autobiography categories.
"A printed eulogy of one of the most interesting and creative physicists of our time....The reader gets fascinating first-person accounts from eminent physicists qua ardent admirers of one who will forever be remembered in the pages of physics." Choice Prominent physicists such as John Wheeler, Freeman Dyson, Hans Bethe, Julian Schwinger, Murray Gell-Mann, David Pines, and others offer intimate reminiscences of their colleague and perceptive explanations of Feynman's trailblazing work. These essays uncover the precocious undergraduate, the young scholar at Cornell, the theoretician in his prime at Caltech, and the mature teacher and mentor. Highlighting both the charm and brilliance of Feynman, "Most of the Good Stuff" is an engrossing collection for enthusiasts--scientists and nonscientists alike--awed and entertained by one of the century's greatest minds.
Introduction To Quantum Computers
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Author : Gennady P Berman
language : en
Publisher: World Scientific
Release Date : 1998-07-07
Introduction To Quantum Computers written by Gennady P Berman and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07-07 with Science categories.
Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease the computational time for some problems by many orders of magnitude. This important book explains how quantum computers can do these amazing things. Several algorithms are illustrated: the discrete Fourier transform, Shor's algorithm for prime factorization; algorithms for quantum logic gates; physical implementations of quantum logic gates in ion traps and in spin chains; the simplest schemes for quantum error correction; correction of errors caused by imperfect resonant pulses; correction of errors caused by the nonresonant actions of a pulse; and numerical simulations of dynamical behavior of the quantum Control-Not gate. An overview of some basic elements of computer science is presented, including the Turing machine, Boolean algebra, and logic gates. The required quantum ideas are explained.
Quantum Computation And Quantum Information
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Author : Michael A. Nielsen
language : en
Publisher: Cambridge University Press
Release Date : 2010-12-09
Quantum Computation And Quantum Information written by Michael A. Nielsen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-09 with Science categories.
One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.
Quantum Computing Explained
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Author : David McMahon
language : en
Publisher: John Wiley & Sons
Release Date : 2007-12-14
Quantum Computing Explained written by David McMahon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-14 with Technology & Engineering categories.
A self-contained treatment of the fundamentals of quantum computing This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists. The author cuts through the conventions of typical jargon-laden physics books and instead presents the material through his unique "how-to" approach and friendly, conversational style. Readers will learn how to carry out calculations with explicit details and will gain a fundamental grasp of: * Quantum mechanics * Quantum computation * Teleportation * Quantum cryptography * Entanglement * Quantum algorithms * Error correction A number of worked examples are included so readers can see how quantum computing is done with their own eyes, while answers to similar end-of-chapter problems are provided for readers to check their own work as they learn to master the information. Ideal for professionals and graduate-level students alike, Quantum Computing Explained delivers the fundamentals of quantum computing readers need to be able to understand current research papers and go on to study more advanced quantum texts.