Search results for " Computational"

showing 10 items of 661 documents

Superlinear advantage for exact quantum algorithms

2012

A quantum algorithm is exact if, on any input data, it outputs the correct answer with certainty (probability 1). A key question is: how big is the advantage of exact quantum algorithms over their classical counterparts: deterministic algorithms. For total Boolean functions in the query model, the biggest known gap was just a factor of 2: PARITY of N inputs bits requires $N$ queries classically but can be computed with N/2 queries by an exact quantum algorithm. We present the first example of a Boolean function f(x_1, ..., x_N) for which exact quantum algorithms have superlinear advantage over the deterministic algorithms. Any deterministic algorithm that computes our function must use N qu…

FOS: Computer and information sciencesQuantum sortGeneral Computer ScienceDeterministic algorithmGeneral MathematicsFOS: Physical sciences0102 computer and information sciencesQuantum capacityComputational Complexity (cs.CC)01 natural sciences010305 fluids & plasmasCombinatorics0103 physical sciencesQuantum phase estimation algorithmQuantum informationBoolean function010306 general physicsComputer Science::DatabasesQuantum computerMathematicsDiscrete mathematicsQuantum PhysicsFunction (mathematics)Computer Science - Computational Complexity010201 computation theory & mathematicsQuantum Fourier transformNo-teleportation theoremQuantum algorithmQuantum Physics (quant-ph)Proceedings of the forty-fifth annual ACM symposium on Theory of Computing
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Quantum Computation With Devices Whose Contents Are Never Read

2010

In classical computation, a "write-only memory" (WOM) is little more than an oxymoron, and the addition of WOM to a (deterministic or probabilistic) classical computer brings no advantage. We prove that quantum computers that are augmented with WOM can solve problems that neither a classical computer with WOM nor a quantum computer without WOM can solve, when all other resource bounds are equal. We focus on realtime quantum finite automata, and examine the increase in their power effected by the addition of WOMs with different access modes and capacities. Some problems that are unsolvable by two-way probabilistic Turing machines using sublogarithmic amounts of read/write memory are shown to…

FOS: Computer and information sciencesQuantum sortQuantum PhysicsTheoretical computer scienceQuantum Turing machineComputer scienceFormal Languages and Automata Theory (cs.FL)ComputationQuantum simulatorFOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Computer Science - Computational ComplexityQuantum algorithmQuantum informationComputational problemQuantum Physics (quant-ph)Quantum computer
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A Quantum Lovasz Local Lemma

2012

The Lovasz Local Lemma (LLL) is a powerful tool in probability theory to show the existence of combinatorial objects meeting a prescribed collection of "weakly dependent" criteria. We show that the LLL extends to a much more general geometric setting, where events are replaced with subspaces and probability is replaced with relative dimension, which allows to lower bound the dimension of the intersection of vector spaces under certain independence conditions. Our result immediately applies to the k-QSAT problem: For instance we show that any collection of rank 1 projectors with the property that each qubit appears in at most $2^k/(e \cdot k)$ of them, has a joint satisfiable state. We then …

FOS: Computer and information sciencesRank (linear algebra)FOS: Physical sciences0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesUpper and lower boundsCombinatoricsIntersectionProbability theoryArtificial Intelligence0103 physical sciences010306 general physicsLovász local lemmaIndependence (probability theory)Quantum computerMathematicsDiscrete mathematicsQuantum PhysicsComputer Science - Computational ComplexityHardware and ArchitectureControl and Systems Engineering010201 computation theory & mathematicsQubitQuantum Physics (quant-ph)SoftwareInformation SystemsVector space
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Sensitivity versus block sensitivity of Boolean functions

2010

Determining the maximal separation between sensitivity and block sensitivity of Boolean functions is of interest for computational complexity theory. We construct a sequence of Boolean functions with bs(f) = 1/2 s(f)^2 + 1/2 s(f). The best known separation previously was bs(f) = 1/2 s(f)^2 due to Rubinstein. We also report results of computer search for functions with at most 12 variables.

FOS: Computer and information sciencesSequenceComputational complexity theoryBlock (permutation group theory)Computational Complexity (cs.CC)Computer Science ApplicationsTheoretical Computer ScienceCombinatoricsComputer Science - Computational ComplexitySignal ProcessingTheory of computationSensitivity (control systems)Boolean functionAlgorithmComputer searchInformation SystemsMathematics
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Unbiased Inference for Discretely Observed Hidden Markov Model Diffusions

2021

We develop a Bayesian inference method for diffusions observed discretely and with noise, which is free of discretisation bias. Unlike existing unbiased inference methods, our method does not rely on exact simulation techniques. Instead, our method uses standard time-discretised approximations of diffusions, such as the Euler--Maruyama scheme. Our approach is based on particle marginal Metropolis--Hastings, a particle filter, randomised multilevel Monte Carlo, and importance sampling type correction of approximate Markov chain Monte Carlo. The resulting estimator leads to inference without a bias from the time-discretisation as the number of Markov chain iterations increases. We give conver…

FOS: Computer and information sciencesStatistics and ProbabilityDiscretizationComputer scienceMarkovin ketjutInference010103 numerical & computational mathematicssequential Monte CarloBayesian inferenceStatistics - Computation01 natural sciencesMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakediffuusio (fysikaaliset ilmiöt)FOS: MathematicsDiscrete Mathematics and Combinatorics0101 mathematicsHidden Markov modelComputation (stat.CO)Statistics - Methodologymatematiikkabayesilainen menetelmäApplied MathematicsProbability (math.PR)diffusionmatemaattiset menetelmätMarkov chain Monte CarloMarkov chain Monte CarloMonte Carlo -menetelmätNoiseimportance sampling65C05 (primary) 60H35 65C35 65C40 (secondary)Modeling and Simulationsymbolsmatemaattiset mallitStatistics Probability and Uncertaintymultilevel Monte CarloParticle filterAlgorithmMathematics - ProbabilityImportance samplingSIAM/ASA Journal on Uncertainty Quantification
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Reliability analysis of processes with moving cracked material

2015

Abstract The reliability of processes with moving elastic and isotropic material containing initial cracks is considered in terms of fracture. The material is modelled as a moving plate which is simply supported from two of its sides and subjected to homogeneous tension acting in the travelling direction. For tension, two models are studied: (i) tension is constant with respect to time, and (ii) tension varies temporally according to an Ornstein–Uhlenbeck process. Cracks of random length are assumed to occur in the material according to a stochastic counting process. For a general counting process, a representation of the nonfracture probability of the system is obtained that exploits condi…

FOS: Computer and information sciencesStochastic modellingBoundary (topology)02 engineering and technologyComputational Engineering Finance and Science (cs.CE)0203 mechanical engineeringfirst passage timeComputer Science - Computational Engineering Finance and Sciencestochastic modelMathematics040101 forestryta214Counting processTension (physics)Applied Mathematicsta111Mathematical analysisIsotropyOrnstein–Uhlenbeck process04 agricultural and veterinary sciencesmoving material020303 mechanical engineering & transportsfractureModeling and Simulation0401 agriculture forestry and fisheriesOrnstein-Uhlenbeck processFirst-hitting-time modelConstant (mathematics)Applied Mathematical Modelling
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Proving The Power Of Postselection

2011

It is a widely believed, though unproven, conjecture that the capability of postselection increases the language recognition power of both probabilistic and quantum polynomial-time computers. It is also unknown whether polynomial-time quantum machines with postselection are more powerful than their probabilistic counterparts with the same resource restrictions. We approach these problems by imposing additional constraints on the resources to be used by the computer, and are able to prove for the first time that postselection does augment the computational power of both classical and quantum computers, and that quantum does outperform probabilistic in this context, under simultaneous time an…

FOS: Computer and information sciencesTheoretical computer scienceComputer scienceComputationFOS: Physical sciencesContext (language use)0102 computer and information sciencesComputational Complexity (cs.CC)Computer Science::Computational Complexity01 natural sciencesTheoretical Computer Science0101 mathematicsQuantumQuantum computerQuantum PhysicsAlgebra and Number TheorySpacetime010102 general mathematicsProbabilistic logicQuantum PhysicsRange (mathematics)Computer Science - Computational ComplexityComputational Theory and Mathematics010201 computation theory & mathematicsPostselectionQuantum Physics (quant-ph)Information Systems
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Forrelation

2014

We achieve essentially the largest possible separation between quantum and classical query complexities. We do so using a property-testing problem called Forrelation, where one needs to decide whether one Boolean function is highly correlated with the Fourier transform of a second function. This problem can be solved using 1 quantum query, yet we show that any randomized algorithm needs Ω(√(N)log(N)) queries (improving an Ω(N[superscript 1/4]) lower bound of Aaronson). Conversely, we show that this 1 versus Ω(√(N)) separation is optimal: indeed, any t-query quantum algorithm whatsoever can be simulated by an O(N[superscript 1-1/2t])-query randomized algorithm. Thus, resolving an open questi…

FOS: Computer and information sciencesTheoretical computer scienceGeneral Computer ScienceComputational complexity theoryComputer scienceGeneralizationGeneral MathematicsSeparation (aeronautics)FOS: Physical sciences0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesUpper and lower boundsCombinatorics0103 physical sciences010306 general physicsBoolean functionQuantumComputer Science::DatabasesQuantum computerMathematicsDiscrete mathematicsQuantum PhysicsFunction (mathematics)Randomized algorithmComputer Science - Computational Complexity010201 computation theory & mathematicsQuantum algorithmQuantum Physics (quant-ph)Proceedings of the forty-seventh annual ACM symposium on Theory of Computing
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Exact affine counter automata

2017

We introduce an affine generalization of counter automata, and analyze their ability as well as affine finite automata. Our contributions are as follows. We show that there is a language that can be recognized by exact realtime affine counter automata but by neither 1-way deterministic pushdown automata nor realtime deterministic k-counter automata. We also show that a certain promise problem, which is conjectured not to be solved by two-way quantum finite automata in polynomial time, can be solved by Las Vegas affine finite automata. Lastly, we show that how a counter helps for affine finite automata by showing that the language MANYTWINS, which is conjectured not to be recognized by affin…

FOS: Computer and information sciencesTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESautomataFormal Languages and Automata Theory (cs.FL)GeneralizationComputer scienceFOS: Physical sciencesComputer Science - Formal Languages and Automata Theorycounter automataМатематика0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)01 natural sciencesquantum computinglcsh:QA75.5-76.95Deterministic pushdown automatonComputer Science (miscellaneous)0202 electrical engineering electronic engineering information engineeringQuantum finite automataPromise problemTime complexityDiscrete mathematicsQuantum Physicscomputational complexityFinite-state machinelcsh:MathematicsИнформатикаpushdown automatalcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesКибернетикаAutomatonComputer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceAffine transformationaffine computingQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts

2019

Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the endocardium of the right ventricle, the inter…

FOS: Computer and information sciencesmedicine.medical_specialtyHeart VentriclesBiomedical EngineeringFOS: Physical sciencesVolume mesh030204 cardiovascular system & hematology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]030218 nuclear medicine & medical imagingComputational Engineering Finance and Science (cs.CE)03 medical and health sciences0302 clinical medicineRule-based methodInternal medicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansComputer SimulationElectrophysiological simulationsInterventricular septumOutflow tractComputer Science - Computational Engineering Finance and ScienceMolecular BiologyEndocardiumFiber (mathematics)Orientation (computer vision)MyocardiumApplied MathematicsFiber orientationOutflow tract ventricular arrhythmiaModels CardiovascularRule-based systemSeptumMagnetic Resonance Imaging[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationPhysics - Medical PhysicsElectrophysiological Phenomenamedicine.anatomical_structureComputational Theory and MathematicsVentricleModeling and Simulationcardiovascular systemCardiologyOutflowMedical Physics (physics.med-ph)SoftwareGeologyInternational Journal for Numerical Methods in Biomedical Engineering
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