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020 _a9783031025181
_9978-3-031-02518-1
024 7 _a10.1007/978-3-031-02518-1
_2doi
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072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
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_2thema
082 0 4 _a510
_223
100 1 _aMcGeoch, Catherine C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981400
245 1 0 _aAdiabatic Quantum Computation and Quantum Annealing
_h[electronic resource] :
_bTheory and Practice /
_cby Catherine C. McGeoch.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aIX, 83 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aMathematics.
_911584
650 0 _aQuantum computers.
_93985
650 0 _aQuantum physics.
_981401
650 1 4 _aMathematics.
_911584
650 2 4 _aQuantum Computing.
_910080
650 2 4 _aQuantum Physics.
_981402
710 2 _aSpringerLink (Online service)
_981403
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031003288
776 0 8 _iPrinted edition:
_z9783031013904
776 0 8 _iPrinted edition:
_z9783031036460
830 0 _aSynthesis Lectures on Quantum Computing,
_x1945-9734
_981404
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02518-1
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999 _c85170
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