Search results for "computational complexity."

showing 10 items of 245 documents

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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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 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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All Classical Adversary Methods Are Equivalent for Total Functions

2017

We show that all known classical adversary lower bounds on randomized query complexity are equivalent for total functions and are equal to the fractional block sensitivity fbs( f ). That includes the Kolmogorov complexity bound of Laplante and Magniez and the earlier relational adversary bound of Aaronson. This equivalence also implies that for total functions, the relational adversary is equivalent to a simpler lower bound, which we call rank-1 relational adversary. For partial functions, we show unbounded separations between fbs( f ) and other adversary bounds, as well as between the adversary bounds themselves. We also show that, for partial functions, fractional block sensitivity canno…

FOS: Computer and information sciencesKolmogorov complexity010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesFunction (mathematics)Computational Complexity (cs.CC)Adversary01 natural sciencesUpper and lower boundsTheoretical Computer ScienceCombinatoricsComputer Science - Computational ComplexityComputational Theory and Mathematics010201 computation theory & mathematicsPartial functionSensitivity (control systems)0101 mathematicsEquivalence (measure theory)MathematicsACM Transactions on Computation Theory
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Variable time amplitude amplification and a faster quantum algorithm for solving systems of linear equations

2010

We present two new quantum algorithms. Our first algorithm is a generalization of amplitude amplification to the case when parts of the quantum algorithm that is being amplified stop at different times. Our second algorithm uses the first algorithm to improve the running time of Harrow et al. algorithm for solving systems of linear equations from O(kappa^2 log N) to O(kappa log^3 kappa log N) where \kappa is the condition number of the system of equations.

FOS: Computer and information sciencesMathematics::LogicQuantum PhysicsComputer Science - Computational ComplexityComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Quantum Physics (quant-ph)
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Classical automata on promise problems

2015

Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Secon…

FOS: Computer and information sciencesNested wordTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESUnary operationGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)nondeterministic automataComputer Science - Formal Languages and Automata Theoryω-automatonComputational Complexity (cs.CC)Theoretical Computer ScienceContinuous spatial automatonQuantum finite automataDiscrete Mathematics and Combinatoricsalternating automatapromise problemsMathematicsprobabilistic automataNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonNondeterministic algorithmAlgebra[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESAutomata theorydescriptional complexityComputer Science::Formal Languages and Automata Theory
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Exact quantum algorithms have advantage for almost all Boolean functions

2014

It has been proved that almost all $n$-bit Boolean functions have exact classical query complexity $n$. However, the situation seemed to be very different when we deal with exact quantum query complexity. In this paper, we prove that almost all $n$-bit Boolean functions can be computed by an exact quantum algorithm with less than $n$ queries. More exactly, we prove that ${AND}_n$ is the only $n$-bit Boolean function, up to isomorphism, that requires $n$ queries.

FOS: Computer and information sciencesNuclear and High Energy Physics81P68 03D15Parity functionBoolean circuitGeneral Physics and AstronomyFOS: Physical sciencesBoolean algebras canonically definedComputational Complexity (cs.CC)Theoretical Computer ScienceCombinatoricsBoolean expressionBoolean functionMathematical PhysicsComputer Science::DatabasesMathematicsDiscrete mathematicsSymmetric Boolean functionQuantum PhysicsProduct termComputer Science::Information RetrievalStatistical and Nonlinear PhysicsComputer Science - Computational ComplexityComputational Theory and MathematicsMaximum satisfiability problemQuantum Physics (quant-ph)
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Quantum lower bound for inverting a permutation with advice

2014

Given a random permutation $f: [N] \to [N]$ as a black box and $y \in [N]$, we want to output $x = f^{-1}(y)$. Supplementary to our input, we are given classical advice in the form of a pre-computed data structure; this advice can depend on the permutation but \emph{not} on the input $y$. Classically, there is a data structure of size $\tilde{O}(S)$ and an algorithm that with the help of the data structure, given $f(x)$, can invert $f$ in time $\tilde{O}(T)$, for every choice of parameters $S$, $T$, such that $S\cdot T \ge N$. We prove a quantum lower bound of $T^2\cdot S \ge \tilde{\Omega}(\epsilon N)$ for quantum algorithms that invert a random permutation $f$ on an $\epsilon$ fraction of…

FOS: Computer and information sciencesNuclear and High Energy PhysicsComputer Science - Cryptography and SecurityGeneral Physics and AstronomyFOS: Physical sciencesOne-way functionComputational Complexity (cs.CC)Upper and lower boundsTheoretical Computer ScienceCyclic permutationCombinatoricsPermutationMathematical PhysicsMathematicsDiscrete mathematicsQuantum PhysicsBit-reversal permutationStatistical and Nonlinear PhysicsRandom permutationComputer Science - Computational ComplexityComputational Theory and MathematicsQuantum algorithmQuantum Physics (quant-ph)Advice (complexity)Cryptography and Security (cs.CR)MathematicsofComputing_DISCRETEMATHEMATICS
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Classical and Quantum Annealing in the Median of Three Satisfiability

2011

We determine the classical and quantum complexities of a specific ensemble of three-satisfiability problems with a unique satisfying assignment for up to N = 100 and 80 variables, respectively. In the classical limit, we employ generalized ensemble techniques and measure the time that a Markovian Monte Carlo process spends in searching classical ground states. In the quantum limit, we determine the maximum finite correlation length along a quantum adiabatic trajectory determined by the linear sweep of the adiabatic control parameter in the Hamiltonian composed of the problem Hamiltonian and the constant transverse field Hamiltonian. In the median of our ensemble, both complexities diverge e…

FOS: Computer and information sciencesPolynomialComputational complexity theoryQuantum dynamicsFOS: Physical sciencesComputational Complexity (cs.CC)Classical limitClassical capacityQuantum mechanicsddc:530Statistical physicsALGORITHMAmplitude damping channelQuantumQuantum fluctuationCondensed Matter - Statistical MechanicsMathematicsPhysicsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Stochastic processQuantum annealingAdiabatic quantum computationAtomic and Molecular Physics and OpticsSatisfiabilityJComputer Science - Computational ComplexityComputerSystemsOrganization_MISCELLANEOUSQuantum algorithmPHASE-TRANSITIONSQuantum dissipationQuantum Physics (quant-ph)
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Search by quantum walks on two-dimensional grid without amplitude amplification

2011

We study search by quantum walk on a finite two dimensional grid. The algorithm of Ambainis, Kempe, Rivosh (quant-ph/0402107) takes O(\sqrt{N log N}) steps and finds a marked location with probability O(1/log N) for grid of size \sqrt{N} * \sqrt{N}. This probability is small, thus amplitude amplification is needed to achieve \Theta(1) success probability. The amplitude amplification adds an additional O(\sqrt{log N}) factor to the number of steps, making it O(\sqrt{N} log N). In this paper, we show that despite a small probability to find a marked location, the probability to be within an O(\sqrt{N}) neighbourhood (at an O(\sqrt[4]{N}) distance) of the marked location is \Theta(1). This all…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Nuclear ExperimentQuantum Physics (quant-ph)
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