量子线路模拟器QuEST在多GPU平台上的性能优化-豆柴文库

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量子线路模拟器QuEST在多GPU平台上的性能优化
Title:PerformanceOptimizationofQuESTQuantumCircuitSimulatoronMulti-GPUPlatforms
Abstract:
Quantumcomputinghasemergedasapromisingparadigmforsolvingcomplexproblemsthatareintractableforclassicalcomputers.Asquantumcircuitsbecomelargerandmorecomplex,theneedforefficientsimulationtoolsbecomescrucial.TheQuantumExactSimulationToolkit(QuEST)hasgainedsignificantpopularityasapowerfulsimulatorforquantumcircuits.Inthispaper,wefocusonoptimizingQuESTformulti-GPUplatformstoenhanceitsperformanceandenablelarger-scalesimulations.Weinvestigatevariousoptimizationtechniquesandperformextensiveexperimentstoevaluatetheeffectivenessoftheseoptimizations.OurresultsdemonstratesignificantperformanceimprovementscomparedtothestandardimplementationofQuEST.
Keywords:quantumcomputing,quantumcircuitsimulator,QuEST,performanceoptimization,multi-GPUplatforms.
1.Introduction
Quantumcomputinghasthepotentialtorevolutionizevariousfields,includingcryptography,optimization,anddrugdiscovery.However,thepracticalrealizationoflarge-scalequantumcomputersisstillchallenging.Quantumcircuitsimulatorsplayacrucialroleinunderstandingandbenchmarkingquantumalgorithmsbeforetheirphysicalimplementation.TheQuantumExactSimulationToolkit(QuEST)isahigh-performancesimulatorthatoffersefficientsimulationofquantumcircuitsonclassicalhardware.
2.Background
Inthissection,weprovideanoverviewofQuESTanddiscussthechallengesassociatedwithsimulatinglarge-scalequantumcircuits.Wealsointroducemulti-GPUplatformsandtheirpotentialforacceleratingquantumcircuitsimulations.
3.RelatedWork
Wereviewexistingeffortstooptimizequantumcircuitsimulatorsonmulti-GPUplatforms.WediscusstheirlimitationsandhighlighttheneedforfurtheroptimizationforQuEST.
4.OptimizationTechniques
Inthissection,wepresentvariousoptimizationtechniquestoenhancetheperformanceofQuESTonmulti-GPUplatforms.Thesetechniquesincludeloadbalancing,memorymanagement,algorithmicoptimizations,andparallelizationstrategies.Weexplaineachtechniqueindetailanddiscusstheiradvantagesand