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008			220601s2014 sz | s |||| 0|eng d
020			_a9783031025181
024	7		_a10.1007/978-3-031-02518-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.889 _b2014 EB
100	1		_aMcGeoch, Catherine C., _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687621 _d1959-
245	1	0	_aAdiabatic Quantum Computation and Quantum Annealing : _bTheory and Practice _cby Catherine C. McGeoch
250			_a1st edition 2014
264		1	_aCham _bSpringer International Publishing _c2014
300			_a1 recurso en línea (IX, 83 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Quantum Computing _x1945-9734
505	0		_aAcknowledgments -- Introduction -- Adiabatic Quantum Computation -- Quantum Annealing -- The D-Wave Platform -- Computational Experience -- Bibliography -- Author's Biography .
520			_aAdiabatic 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 paradigm. Next we review the D-Wave technology stack and discuss some challenges to building and using quantum computing systems at a commercial scale. The last chapter reviews some experimental efforts to understand the properties and capabilities of these unusual platforms. The discussion throughout is aimed at an audience of computer scientists with little background in quantum computation or in physics. Table of Contents: Acknowledgments / Introduction / Adiabatic Quantum Computation / Quantum Annealing / The D-Wave Platform / Computational Experience / Bibliography / Author's Biography.
988			_aSynthesis Collection of Technology_2014
650		7	_2embne _9687622 _aSimetría (Matemáticas)
650		7	_2embne _9166087 _aOrdenadores cuánticos
776	0	8	_iPrinted edition: _z9783031003288
776	0	8	_iPrinted edition: _z9783031013904
776	0	8	_iPrinted edition: _z9783031036460
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02518-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI