how does a quantum computer work?


 Reply to thread Showing results 1 to 11 of 11 18/07/2011, 15h54 # 1 noureddine2 Join Date January 2011 Location maroc Messages 1,655 how does a quantum computer work? hello, from this link http://en.wikipedia.org/wiki/Quick_computer Interest of quantum calculators [modifier] According to the empirical Moore’s law, the size of the transistors will approach that of atom at 2020. At this scale, quantum effects disrupt the functioning of electronic components [3]. If large (more than 300 qubits) quantum calculators could be built – which is not assured – they would be able by David Deutsch [4] to simulate the behavior of the universe himself. They could also solve cryptanalysis problems in a polynomial and non-exponential time like a conventional computer. Quantum computers use calculation techniques totally different from those usually known. They are based on quantum properties of matter. Many systems (conventional computer transistors, LCD displays, laser printers, etc.) do indeed exploit quantum effects in their operation, but represent information in the form of conventional bits. in 2020 miniaturization will reach its limit, I would like to know now, what are the steps that industry will follow to replace electronics with quantum mechanics? thank you . —– Today 18/07/2011, 16h04 # 2 Castitatis Registration date December 2009 Messages 456 Re: how does a quantum computer work? I do not see the relationship between the title of the topic and the question asked … 18/07/2011, 16:48 # 3 Xoxopixo Registration date October 2010 Messages 5 157 Re: how does a quantum computer work? Hello, Sent by Nourredine2 in 2020 miniaturization will reach its limit, I would like to know now, what are the steps that the industry will follow to replace electronics with quantum mechanics? thank you . Nothing says that the industry is thinking of replacing the traditional CPU with quantum. Without going to the quantum computer (if it is born otherwise than in the laboratory), the parallel architecture is anyway, for years, the track followed involving supercomputers. Today, multicore has made its appearance in the public domain. Sent by UNIV.Orleans The parallelism for accelerating calculations was, until about 2005, mainly limited to the areas of intensive scientific computing or the management of huge masses of data on parallel supercomputers (specific or PC cluster type). However with the advent of multi-core processors and the expected increase in the number of cores in future processors, parallel computing is entering mainstream computing. Increasing the number of cores to ensure performance growth in accordance with Moore’s law is not enough: all software must be designed to take advantage of this computing power. However, effectively programming this kind of material requires rare skills. For example, major global computer manufacturers, through such articles as “Think Parallel or Perish” or “The New Era of Tera-Scale Computing,” encourage the development of such skills. The objective of this module is to give these skills. http://www.univ-orleans.fr/sciences/…n-multi-coeurs The next challenge is more on the side of programming languages. An example. Submitted by Wikipedia Unified Parallel C (UPC) is an extension of the C programming language designed for high-performance computations on parallel supercomputers, including global address space (SMP and NUMA) and distributed memory architectures (clusters). The language defines a shared and partitioned address space, where variables can be directly read and written by any thread, but each variable is physically associated with a single processor. UPC uses a Single Program Multiple Data (SPMD) calculation model in which the amount of thread is fixed at compile time, typically with a single thread of execution per processor. http://en.wikipedia.org/wiki/Unified_Parallel_C This strategy of parallelism is already applied to the hardware for computational treatments. Via the GPU Computing. http://www.gpucomputing.net/ (here an excerpt from 2007) Sent by Silicon The manufacturer pushes the approach today at the end of its logic, and proposes Nvidia Tesla, its hardware solution intended for parallel computing and based on a new class of processors on a revolutionary GPU to tackle the market on GPU Computing. And it creates a break in the design of supercomputers by democratizing access to massively parallel calculations. It is now possible, for a moderate price, to transform a PC? recent all the same! ? in calculator …

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