Search results for " Mach"

showing 10 items of 1388 documents

A Logical Characterisation of Linear Time on Nondeterministic Turing Machines

1999

The paper gives a logical characterisation of the class NTIME(n) of problems that can be solved on a nondeterministic Turing machine in linear time. It is shown that a set L of strings is in this class if and only if there is a formula of the form ∃f1..∃fk∃R1..∃Rm∀xφv; that is true exactly for all strings in L. In this formula the fi are unary function symbols, the Ri are unary relation symbols and φv; is a quantifierfree formula. Furthermore, the quantification of functions is restricted to non-crossing, decreasing functions and in φv; no equations in which different functions occur are allowed. There are a number of variations of this statement, e.g., it holds also for k = 3. From these r…

Discrete mathematicsNTIMEComputational complexity theoryUnary operationCombinatoricsNondeterministic algorithmTuring machinesymbols.namesakeNon-deterministic Turing machinesymbolsUnary functionTime complexityComputer Science::Formal Languages and Automata TheoryMathematics
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Quantum Pushdown Automata

2000

Quantum finite automata, as well as quantum pushdown automata were first introduced by C. Moore, J. P. Crutchfield [13]. In this paper we introduce the notion of quantum pushdown automata (QPA) in a non-equivalent way, including unitarity criteria, by using the definition of quantum finite automata of [11]. It is established that the unitarity criteria of QPA are not equivalent to the corresponding unitarity criteria of quantum Turing machines [4]. We show that QPA can recognize every regular language. Finally we present some simple languages recognized by QPA, two of them are not recognizable by deterministic pushdown automata and one seems to be not recognizable by probabilistic pushdown …

Discrete mathematicsNested wordComputer scienceDeterministic context-free grammarContext-free languagePushdown automatonNonlinear Sciences::Cellular Automata and Lattice GasesEmbedded pushdown automatonDeterministic pushdown automatonTuring machinesymbols.namesakeRegular languageDeterministic automatonProbabilistic automatonsymbolsQuantum finite automataAutomata theoryComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Quantum Finite Multitape Automata

1999

Quantum finite automata were introduced by C. Moore, J. P. Crutchfield [4], and by A. Kondacs and J. Watrous [3]. This notion is not a generalization of the deterministic finite automata. Moreover, in [3] it was proved that not all regular languages can be recognized by quantum finite automata. A. Ambainis and R. Freivalds [1] proved that for some languages quantum finite automata may be exponentially more concise rather than both deterministic and probabilistic finite automata. In this paper we introduce the notion of quantum finite multitape automata and prove that there is a language recognized by a quantum finite automaton but not by deterministic or probabilistic finite automata. This …

Discrete mathematicsProbabilistic finite automataFinite-state machineNested wordComputer scienceDeterministic context-free grammarTimed automatonω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesAutomatonMobile automatonNondeterministic finite automaton with ε-movesDeterministic finite automatonDFA minimizationRegular languageDeterministic automatonProbabilistic automatonContinuous spatial automatonAutomata theoryQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automatonComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Quantum Finite State Transducers

2001

We introduce quantum finite state transducers (qfst), and study the class of relations which they compute. It turns out that they share many features with probabilistic finite state transducers, especially regarding undecidability of emptiness (at least for low probability of success). However, like their 'little brothers', the quantum finite automata, the power of qfst is incomparable to that of their probabilistic counterpart. This we show by discussing a number of characteristic examples.

Discrete mathematicsPure mathematicsFinite-state machineDeterministic finite automatonComputer scienceComputer Science::Logic in Computer ScienceProbabilistic logicQuantum finite automataNondeterministic finite automatonState diagramQuantumComputer Science::Formal Languages and Automata TheoryQuantum computer
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Improved constructions of quantum automata

2008

We present a simple construction of quantum automata which achieve an exponential advantage over classical finite automata. Our automata use \frac{4}{\epsilon} \log 2p + O(1) states to recognize a language that requires p states classically. The construction is both substantially simpler and achieves a better constant in the front of \log p than the previously known construction of Ambainis and Freivalds (quant-ph/9802062). Similarly to Ambainis and Freivalds, our construction is by a probabilistic argument. We consider the possibility to derandomize it and present some results in this direction.

Discrete mathematicsQuantum PhysicsFinite-state machineTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESGeneral Computer ScienceFOS: Physical sciencesω-automatonComputer Science::Computational ComplexityNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonTheoretical Computer ScienceQuantum finite automataQuantum computationAutomata theoryQuantum finite automataNondeterministic finite automatonExponential advantageQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryMathematicsQuantum computerQuantum cellular automatonComputer Science(all)
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A Survey of Continuous-Time Computation Theory

1997

Motivated partly by the resurgence of neural computation research, and partly by advances in device technology, there has been a recent increase of interest in analog, continuous-time computation. However, while special-case algorithms and devices are being developed, relatively little work exists on the general theory of continuous- time models of computation. In this paper, we survey the existing models and results in this area, and point to some of the open research questions. Final Draft peerReviewed

Discrete mathematicsTheoretical computer scienceComputabilityComputationModel of computationneuraalilaskentaTuring machineTuring machinesymbols.namesakeModels of neural computationComputable functionOpen researchTheory of computationsymbolsHopfield networkcellular automatondifferential analyzerMathematics
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Probabilities to Accept Languages by Quantum Finite Automata

1999

We construct a hierarchy of regular languages such that the current language in the hierarchy can be accepted by 1-way quantum finite automata with a probability smaller than the corresponding probability for the preceding language in the hierarchy. These probabilities converge to 1/2.

Discrete mathematicsTheoretical computer scienceNested wordFinite-state machineHierarchy (mathematics)Computer scienceComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Turing machinesymbols.namesakeNonlinear Sciences::Exactly Solvable and Integrable SystemsRegular languageProbabilistic automatonAnalytical hierarchysymbolsComputer Science::Programming LanguagesQuantum finite automataQuantum algorithmNondeterministic finite automaton
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Standard Sturmian words and automata minimization algorithms

2015

The study of some close connections between the combinatorial properties of words and the performance of the automata minimization process constitutes the main focus of this paper. These relationships have been, in fact, the basis of the study of the tightness and the extremal cases of Hopcroft's algorithm, that is, up to now, the most efficient minimization method for deterministic finite state automata. Recently, increasing attention has been paid to another minimization method that, unlike the approach proposed by Hopcroft, is not based on refinement of the set of states of the automaton, but on automata operations such as determinization and reverse, and is also applicable to non-determ…

Discrete mathematicsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordFinite-state machineGeneral Computer ScienceAutomata minimizationComputer Science (all)ω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesStandard Sturmian wordTheoretical Computer ScienceAutomatonCombinatoricsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDFA minimizationAutomata theoryQuantum finite automataBrzozowski's minimization algorithmTime complexityAlgorithmComputer Science::Formal Languages and Automata TheoryMathematicsTheoretical Computer Science
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Group Input Machine

2009

We introduce a new type of internal memory for finite automata and real-time automata. Instead of using tapes with a prescribed Euclidean structure (one-dimensional or two-dimensional tapes) we allow arbitrary group structure of the internal memory of the automata.

Discrete mathematicsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordFinite-state machineω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesTopologyAutomatonMobile automatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESContinuous spatial automatonAutomata theoryQuantum finite automataComputer Science::Formal Languages and Automata TheoryMathematics
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Minimal nontrivial space complexity of probabilistic one- way turing machines

2005

Languages recognizable in o(log log n) space by probabilistic one — way Turing machines are proved to be regular. This solves an open problem in [4].

Discrete mathematicsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESSuper-recursive algorithmProbabilistic Turing machineLinear speedup theoremNSPACEDescription numberCombinatoricsTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESNon-deterministic Turing machinesymbolsTime hierarchy theoremComputer Science::Formal Languages and Automata TheoryMathematics
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