| 期刊全稱 | Adiabatic Quantum Computation and Quantum Annealing | | 期刊簡(jiǎn)稱 | Theory and Practice | | 影響因子2023 | Catherine C. McGeoch | | 視頻video | http://file.papertrans.cn/145/144935/144935.mp4 | | 學(xué)科分類 | Synthesis Lectures on Quantum Computing | | 圖書(shū)封面 |  | | 影響因子 | Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are polynomially equivalent, but otherwise quite dissimilar: one property that distinguishes AQC from the gate model is its analog nature. Quantum annealing (QA) describes a type of heuristic search algorithm that can be implemented to run in the ``native instruction set‘‘ of an AQC platform. D-Wave Systems Inc. manufactures {quantum annealing processor chips} that exploit quantum properties to realize QA computations in hardware. The chips form the centerpiece of a novel computing platform designed to solve NP-hard optimization problems. Starting with a 16-qubit prototype announced in 2007, the company has launched and sold increasingly larger models: the 128-qubit D-Wave One system was announced in 2010 and the 512-qubit D-Wave Two system arrived on the scene in 2013. A 1,000-qubit model is expected to be available in 2014. This monograph presents an introductory overview of this unusual and rapidly developing approach to computation. We start with a survey of basic principles of quantum computation and what is known about the AQC model and the QA algorithm | | Pindex | Book 2014 |
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