Search results for "Computer Science::Computational Complexity"

showing 10 items of 48 documents

Quantum, stochastic, and pseudo stochastic languages with few states

2014

Stochastic languages are the languages recognized by probabilistic finite automata (PFAs) with cutpoint over the field of real numbers. More general computational models over the same field such as generalized finite automata (GFAs) and quantum finite automata (QFAs) define the same class. In 1963, Rabin proved the set of stochastic languages to be uncountable presenting a single 2-state PFA over the binary alphabet recognizing uncountably many languages depending on the cutpoint. In this paper, we show the same result for unary stochastic languages. Namely, we exhibit a 2-state unary GFA, a 2-state unary QFA, and a family of 3-state unary PFAs recognizing uncountably many languages; all th…

FOS: Computer and information sciencesFINITE AUTOMATAClass (set theory)Unary operationFormal Languages and Automata Theory (cs.FL)QUANTUM FINITE AUTOMATACOMPUTATIONAL MODELBINARY ALPHABETSFOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputer Science::Computational ComplexityPROBABILISTIC FINITE AUTOMATAREAL NUMBERUNARY LANGUAGESQuantum finite automataCUT-POINTMathematicsReal numberDiscrete mathematicsQuantum PhysicsFinite-state machineGENERALIZED FINITE AUTOMATAComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)STOCHASTIC SYSTEMSAutomatonSTOCHASTIC LANGUAGESMathematics::LogicProbabilistic automatonComputer Science::Programming LanguagesQUANTUM THEORYUncountable setQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryGENERALIZED FINITE AUTOMATON
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The Descriptive Complexity Approach to LOGCFL

1998

Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers. Our work extends the elaborate theory relating monoidal quantifiers to NC1 and its subclasses. In the absence of the BIT predicate, we resolve the main issues: we show in particular that no single outermost unary groupoidal quantifier with FO can capture all the context-free languages, and we obtain the surprising result that a variant of Greibach's ``hardest context-free language'' is LOGCFL-complete under quantifier-free BIT-free proj…

FOS: Computer and information sciencesFinite model theoryUnary operationComputer Networks and Communicationsautomata and formal languages0102 computer and information sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityArityDescriptive complexity theory01 natural sciencesTheoretical Computer ScienceComputer Science::Logic in Computer ScienceNondeterministic finite automaton0101 mathematicsLOGCFLMathematicsDiscrete mathematicscomputational complexityApplied Mathematics010102 general mathematicsdescriptive complexityNondeterministic algorithmComputer Science - Computational Complexityfinite model theoryQuantifier (logic)Computational Theory and Mathematics010201 computation theory & mathematicsF.1.3Journal of Computer and System Sciences
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The Need for Structure in Quantum Speedups

2009

Is there a general theorem that tells us when we can hope for exponential speedups from quantum algorithms, and when we cannot? In this paper, we make two advances toward such a theorem, in the black-box model where most quantum algorithms operate. First, we show that for any problem that is invariant under permuting inputs and outputs (like the collision or the element distinctness problems), the quantum query complexity is at least the 7th root of the classical randomized query complexity. (An earlier version of this paper gave the 9th root.) This resolves a conjecture of Watrous from 2002. Second, inspired by recent work of O'Donnell et al. (2005) and Dinur et al. (2006), we conjecture t…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFOS: Physical sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::DatabasesTheory of Computing
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Quantum Finite Automata and Probabilistic Reversible Automata: R-trivial Idempotent Languages

2011

We study the recognition of R-trivial idempotent (R1) languages by various models of "decide-and-halt" quantum finite automata (QFA) and probabilistic reversible automata (DH-PRA). We introduce bistochastic QFA (MM-BQFA), a model which generalizes both Nayak's enhanced QFA and DH-PRA. We apply tools from algebraic automata theory and systems of linear inequalities to give a complete characterization of R1 languages recognized by all these models. We also find that "forbidden constructions" known so far do not include all of the languages that cannot be recognized by measure-many QFA.

FOS: Computer and information sciencesQuantum PhysicsFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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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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"Table 2" of "Study of Dimuon Production in Photon-Photon Collisions and Measurement of QED Photon Structure Functions at LEP"

2001

The measured QED photon structure function at Q**2 = 120 GeV for the combine SAT and STIC data.

GAMMA GAMMA --> MU+ MU-Electron productionE+ E- --> E+ E- MU+ MU-91.2Computer Science::Computational ComplexityMuon productionF2PhotoproductionE+ E- ScatteringTwo-PhotonStructure FunctionExclusiveHigh Energy Physics::ExperimentPhysics::Atomic PhysicsNuclear Experiment
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Exact results for accepting probabilities of quantum automata

2001

One of the properties of Kondacs-Watrous model of quantum finite automata (QFA) is that the probability of the correct answer for a QFA cannot be amplified arbitrarily. In this paper, we determine the maximum probabilities achieved by QFAs for several languages. In particular, we show that any language that is not recognized by an RFA (reversible finite automaton) can be recognized by a QFA with probability at most 0.7726...

General Computer ScienceFOS: Physical sciences0102 computer and information sciences02 engineering and technologyUnitary transformationComputer Science::Computational Complexity01 natural sciencesTheoretical Computer ScienceCombinatoricsQuantum measurementFormal languageQuantum computation0202 electrical engineering electronic engineering information engineeringQuantum finite automataMathematicsQuantum computerQuantum PhysicsFinite-state machineMarkov chainExact resultsTransformation (function)010201 computation theory & mathematics020201 artificial intelligence & image processingQuantum Physics (quant-ph)Finite automataComputer Science::Formal Languages and Automata TheoryComputer Science(all)Theoretical Computer Science
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Mappings of finite distortion: The sharp modulus of continuity

2003

We establish an essentially sharp modulus of continuity for mappings of subexponentially integrable distortion.

Mathematics::ProbabilityIntegrable systemApplied MathematicsGeneral MathematicsDistortionMathematical analysisGeometryComputer Science::Computational ComplexityComputer Science::Data Structures and AlgorithmsModulus of continuityMathematicsTransactions of the American Mathematical Society
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No-Forcing and No-Matching Theorems for Classical Probability Applied to Quantum Mechanics

2013

Correlations of spins in a system of entangled particles are inconsistent with Kolmogorov's probability theory (KPT), provided the system is assumed to be non-contextual. In the Alice-Bob EPR paradigm, non-contextuality means that the identity of Alice's spin (i.e., the probability space on which it is defined as a random variable) is determined only by the axis \alphai chosen by Alice, irrespective of Bob's axis \betaj (and vice versa). Here, we study contextual KPT models, with two properties: (1) Alice's and Bob's spins are identified as Aij and Bij, even though their distributions are determined by, respectively, \alphai alone and \betaj alone, in accordance with the no-signaling requir…

PhysicsQuantum Physics010308 nuclear & particles physicsProbability (math.PR)Zero (complex analysis)General Physics and AstronomyFOS: Physical sciencesCharacterization (mathematics)Computer Science::Computational Complexity60A99 81P1301 natural sciencesCombinatoricsIdentity (mathematics)Probability theoryJoint probability distribution0103 physical sciencesFOS: MathematicsBeta (velocity)010306 general physicsQuantum Physics (quant-ph)Random variableMathematics - ProbabilitySpin-½
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Analyticity of a restricted formality

2020

International audience; The Kontsevich formality can be viewed as a non-linear map ℱ from the L∞ algebra of poly-vector fields on ℝd to the space of poly-differential operators. The space of the half-homogenous poly-vector fields is a sub-L∞ algebra. We prove here that the restriction of ℱto this subspace is weakly analytic.

Pure mathematics010102 general mathematicsStatistical and Nonlinear PhysicsFormalityComputer Science::Computational Complexity16. Peace & justiceSpace (mathematics)01 natural sciences0103 physical sciences010307 mathematical physics0101 mathematicsAlgebra over a field[MATH]Mathematics [math]Computer Science::Data Structures and AlgorithmsMathematical PhysicsSubspace topologyMathematics
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