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Quantum Computing

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Quantum computation: Michelle Simmons at TEDxSydney. CS294-2, Spring 2007. Re: About Quantum Computing. I didn't read the article from Wilczek (might do that later), but I can tell you this. Quantum Computing by means of anyons has become quite a growing research area over the past few years. It is usually refered to as Topological Quantum Computation, where the "topological" refers to the fact that one makes use of so-called topological degrees of freedom. These degrees of freedom are of a non-local nature (at least the one that I am familiar with), which is what makes them so appealing for use of quantum computation. Disturbances coming from heat, photons, phonons and so on are all caused by local interactions, meaning that topological degrees of freedom are unaffected by them. This causes a quantum computer based on topological degrees of freedom to be unaffected by any type of decoherence - which is precisely the plague that haunts "convential" quantum computers.

One promosing way of realising these topological degrees of freedom is through means of non-Abelian anyons.

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Home. Logic Studies. Quantum information science. Quantum information science is an area of study based on the idea that information science depends on quantum effects in physics. It includes theoretical issues in computational models as well as more experimental topics in quantum physics including what can and cannot be done with quantum information. The term quantum information theory is sometimes used, but it fails to encompass experimental research in the area. Subfields include: See also[edit] References[edit] Nielsen, M.A. and Chuang, I.L.

Quantum computation and quantum information. External links[edit] Quantiki – quantum information science portal and wiki.ERA-Pilot QIST WP1 European roadmap on Quantum Information Processing and CommunicationQIIC – Quantum Information, Imperial College London.QIP – Quantum Information Group, University of Leeds. Introduction to Quantum Computing. Alan Turing invented the programmable computer in 1936 (see Resources) as a thought experiment to show that certain mathematical problems were not computable. Implicit in his argument was the idea that a computer, armed with sufficient resources, is capable of realizing any reasonable algorithm. Since that time, the computer industry has not only managed to build programmable computing machines, they've also outdone themselves by doubling the capabilities every eighteen months or so. Despite these frenetic advances in computer technology, modern computers are still unable to make significant dents in hard problems.

Problems that require exponential resources (compared to the size of the problem itself), remain as intractable today as they were in 1936. In 1982 Richard Feynman suggested that the venerable Turing machine might not be as powerful as people thought. Feynman was trying to simulate the interaction of N particles with quantum mechanics. Visualizing a quantum computing problem. Quantum computer. Technology that uses quantum mechanics A quantum computer is a computer that takes advantage of quantum mechanical phenomena. At small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages this behavior, specifically quantum superposition and entanglement, using specialized hardware that supports the preparation and manipulation of quantum states. Classical physics cannot explain the operation of these quantum devices, and a scalable quantum computer could perform some calculations exponentially faster (with respect to input size scaling)[2] than any modern "classical" computer.

In particular, a large-scale quantum computer could break widely used encryption schemes and aid physicists in performing physical simulations; however, the current state of the art is largely experimental and impractical, with several obstacles to useful applications. History[edit] Quantum information processing[edit] Quantum information[edit] and , and . . Over. Simons Conference on New Trends in Quantum Computation, November 15-18, 2010. First programmable quantum computer created | Computers. Home - Ruhr-Universität Bochum.

Quantum Computation. SAO/NASA ADS Physics Abstract Service · Electronic Refereed Journal Article (HTML)· References in the article· Citations to the Article (846) (Citation History) · Refereed Citations to the Article· Also-Read Articles (Reads History) · · Translate This Page Abstract If the bits of computers are someday scaled down to the size of individual atoms, quantum mechanical effects may profoundly change the nature of computation itself. The wave function of such a quantum computer could consist of a superposition of many computations carried out simultaneously; this kind of parallelism could be exploited to make some important computational problems, like the prime factoring of large integers, tractable. Quantum Computation. Quantum Computation. Dreams Versus Reality: Plenary Debate Session on Quantum Computing. Dreams Versus Reality: Plenary Debate Session on Quantum Computing.

[quant-ph/0310130] Dreams versus Reality: Plenary Debate Session on Quantum Computing. Quantum Computing research by Mikko Möttönen at Aalto University. Quantum Computing research by Mikko Möttönen at Aalto University. An Introduction to Quantum Computing. Edward Gerjuoy received his Ph.D. in theoretical physics from the University of California at Berkeley in 1942. After working on antisubmarine warfare problems during World War II he taught at several academic institutions, winding up at the University of Pittsburgh where he presently is Professor of Physics Emeritus, having been appointed professor in 1964. In 1977 he obtained a law degree, and thereafter for many years shared his time between physics and the law. As a scientist lawyer he has been Editor-in-Chief (1981-1986) of the American Bar Association (ABA) Journal of Law, Science and Technology. During his entire career, however, he also has devoted considerable time to the defense of human rights.

His quantum computing/information publications include: “Deterministic Dense Coding and Entanglement Entropy” (with P.S. Bourdon, J. Researchers should cite this work as follows: Edward Gerjuoy (2008), "An Introduction to Quantum Computing," QUANTWARE MIPS CENTER. David Deutsch Video Lectures. Quantum computing for the determined. Quantum computing for the determined.