Search results for "complexity"

showing 10 items of 1094 documents

The quantum query complexity of certification

2009

We study the quantum query complexity of finding a certificate for a d-regular, k-level balanced NAND formula. Up to logarithmic factors, we show that the query complexity is Theta(d^{(k+1)/2}) for 0-certificates, and Theta(d^{k/2}) for 1-certificates. In particular, this shows that the zero-error quantum query complexity of evaluating such formulas is O(d^{(k+1)/2}) (again neglecting a logarithmic factor). Our lower bound relies on the fact that the quantum adversary method obeys a direct sum theorem.

FOS: Computer and information sciencesDiscrete mathematicsQuantum Physics0209 industrial biotechnologyNuclear and High Energy PhysicsQuantum queryComputer scienceDirect sumFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear Physics0102 computer and information sciences02 engineering and technologyCertificationComputational Complexity (cs.CC)Certificate01 natural sciencesTheoretical Computer ScienceComputer Science - Computational Complexity020901 industrial engineering & automationComputational Theory and Mathematics010201 computation theory & mathematicsQuantum Physics (quant-ph)QuantumMathematical PhysicsQuantum Information and Computation
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On the Power of Non-adaptive Learning Graphs

2012

We introduce a notion of the quantum query complexity of a certificate structure. This is a formalisation of a well-known observation that many quantum query algorithms only require the knowledge of the disposition of possible certificates in the input string, not the precise values therein. Next, we derive a dual formulation of the complexity of a non-adaptive learning graph, and use it to show that non-adaptive learning graphs are tight for all certificate structures. By this, we mean that there exists a function possessing the certificate structure and such that a learning graph gives an optimal quantum query algorithm for it. For a special case of certificate structures generated by cer…

FOS: Computer and information sciencesDiscrete mathematicsQuantum PhysicsTheoretical computer scienceComputational complexity theoryComputer scienceGeneral MathematicsExistential quantificationFOS: Physical sciencesGraph theoryString searching algorithmComputational Complexity (cs.CC)Query optimizationCertificateUpper and lower boundsTheoretical Computer ScienceComputational MathematicsComputer Science - Computational ComplexityComputational Theory and MathematicsBounded functionAdaptive learningSpecial caseQuantum Physics (quant-ph)Quantum computerMathematics2013 IEEE Conference on Computational Complexity
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Adversary Lower Bound for the k-sum Problem

2013

We prove a tight quantum query lower bound $\Omega(n^{k/(k+1)})$ for the problem of deciding whether there exist $k$ numbers among $n$ that sum up to a prescribed number, provided that the alphabet size is sufficiently large. This is an extended and simplified version of an earlier preprint of one of the authors arXiv:1204.5074.

FOS: Computer and information sciencesDiscrete mathematicsQuantum queryQuantum PhysicsFOS: Physical sciencesComputational Complexity (cs.CC)AdversaryOmegaUpper and lower boundsCombinatoricsComputer Science - Computational ComplexityOrthogonal arrayAlphabetQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryMathematics
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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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Separations in Query Complexity Based on Pointer Functions

2015

In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-error randomized query complexity for a total boolean function is given by the function $f$ on $n=2^k$ bits defined by a complete binary tree of NAND gates of depth $k$, which achieves $R_0(f) = O(D(f)^{0.7537\ldots})$. We show this is false by giving an example of a total boolean function $f$ on $n$ bits whose deterministic query complexity is $\Omega(n/\log(n))$ while its zero-error randomized query complexity is $\tilde O(\sqrt{n})$. We further show that the quantum query complexity of the same function is $\tilde O(n^{1/4})$, giving the first example of a total function with a super-quadra…

FOS: Computer and information sciencesFOS: Physical sciences0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesCombinatoricsArtificial Intelligence0103 physical sciences0101 mathematics010306 general physicsCommunication complexityBoolean functionQuantumMathematicsDiscrete mathematicsQuantum PhysicsBinary tree010102 general mathematicsNAND logicRandomized algorithmComputer Science - Computational ComplexityHardware and ArchitectureControl and Systems Engineering010201 computation theory & mathematicsIndependent setPointer (computer programming)Quantum algorithmQuantum Physics (quant-ph)SoftwareInformation Systems
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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 Fluted Fragment with Transitivity

2019

We study the satisfiability problem for the fluted fragment extended with transitive relations. We show that the logic enjoys the finite model property when only one transitive relation is available. On the other hand we show that the satisfiability problem is undecidable already for the two-variable fragment of the logic in the presence of three transitive relations.

FOS: Computer and information sciencesFirst-Order logicComputer Science - Logic in Computer ScienceTransitivity000 Computer science knowledge general worksComputer Science::Logic in Computer ScienceComputer ScienceDecidabilityComplexitySatisfiabilityLogic in Computer Science (cs.LO)
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Superiority of exact quantum automata for promise problems

2011

In this note, we present an infinite family of promise problems which can be solved exactly by just tuning transition amplitudes of a two-state quantum finite automata operating in realtime mode, whereas the size of the corresponding classical automata grow without bound.

FOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Timed automatonFOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesω-automatonComputational Complexity (cs.CC)01 natural sciencesTheoretical Computer ScienceDeterministic automatonApplied mathematicsQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automaton0101 mathematicsMathematicsDiscrete mathematicsQuantum Physics010102 general mathematicsComputer Science ApplicationsComputer Science - Computational Complexity010201 computation theory & mathematicsSignal ProcessingAutomata theoryQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryInformation SystemsQuantum cellular automaton
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On the Lie complexity of Sturmian words

2022

Bell and Shallit recently introduced the Lie complexity of an infinite word $s$ as the function counting for each length the number of conjugacy classes of words whose elements are all factors of $s$. They proved, using algebraic techniques, that the Lie complexity is bounded above by the first difference of the factor complexity plus one; hence, it is uniformly bounded for words with linear factor complexity, and, in particular, it is at most 2 for Sturmian words, which are precisely the words with factor complexity $n+1$ for every $n$. In this note, we provide an elementary combinatorial proof of the result of Bell and Shallit and give an exact formula for the Lie complexity of any Sturmi…

FOS: Computer and information sciencesGeneral Computer ScienceSettore INF/01 - InformaticaDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Sturmian wordComputer Science - Formal Languages and Automata TheoryComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)G.2.168R15Lie complexityTheoretical Computer ScienceLie complexity Sturmian wordFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On Block Sensitivity and Fractional Block Sensitivity

2018

We investigate the relation between the block sensitivity bs(f) and fractional block sensitivity fbs(f) complexity measures of Boolean functions. While it is known that fbs(f) = O(bs(f)2), the best known separation achieves $${\rm{fbs}}\left( f \right) = \left( {{{\left( {3\sqrt 2 } \right)}^{ - 1}} + o\left( 1 \right)} \right){\rm{bs}}{\left( f \right)^{3/2}}$$ . We improve the constant factor and show a family of functions that give fbs(f) = (6−1/2 − o(1)) bs(f)3/2.

FOS: Computer and information sciencesGeneral Mathematics010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesConstant factorCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSensitivity (control systems)0101 mathematicsAlgebra over a fieldMathematics
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