Search results for "quantum finite automata"

showing 10 items of 73 documents

On the Size Complexity of Deterministic Frequency Automata

2013

Austinat, Diekert, Hertrampf, and Petersen [2] proved that every language L that is (m,n)-recognizable by a deterministic frequency automaton such that m > n/2 can be recognized by a deterministic finite automaton as well. First, the size of deterministic frequency automata and of deterministic finite automata recognizing the same language is compared. Then approximations of a language are considered, where a language L′ is called an approximation of a language L if L′ differs from L in only a finite number of strings. We prove that if a deterministic frequency automaton has k states and (m,n)-recognizes a language L, where m > n/2, then there is a language L′ approximating L such that L′ c…

Powerset constructionPushdown automatonComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Nonlinear Sciences::Cellular Automata and Lattice GasesCombinatoricsDeterministic pushdown automatonDeterministic finite automatonDeterministic automatonComputer Science::Programming LanguagesQuantum finite automataTwo-way deterministic finite automatonNondeterministic finite automatonComputer Science::Formal Languages and Automata TheoryMathematics
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Quantum counter automata

2011

The question of whether quantum real-time one-counter automata (rtQ1CAs) can outperform their probabilistic counterparts has been open for more than a decade. We provide an affirmative answer to this question, by demonstrating a non-context-free language that can be recognized with perfect soundness by a rtQ1CA. This is the first demonstration of the superiority of a quantum model to the corresponding classical one in the real-time case with an error bound less than 1. We also introduce a generalization of the rtQ1CA, the quantum one-way one-counter automaton (1Q1CA), and show that they too are superior to the corresponding family of probabilistic machines. For this purpose, we provide gene…

SoundnessFOS: Computer and information sciencesQuantum PhysicsGeneralizationComputer scienceProbabilistic logicFOS: Physical sciences0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)01 natural sciencesAutomatonAlgebraComputer Science - Computational Complexity010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Quantum finite automata020201 artificial intelligence & image processingPoint (geometry)Quantum Physics (quant-ph)Quantum
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Unary Probabilistic and Quantum Automata on Promise Problems

2015

We continue the systematic investigation of probabilistic and quantum finite automata (PFAs and QFAs) on promise problems by focusing on unary languages. We show that bounded-error QFAs are more powerful than PFAs. But, in contrary to the binary problems, the computational powers of Las-Vegas QFAs and bounded-error PFAs are equivalent to deterministic finite automata (DFAs). Lastly, we present a new family of unary promise problems with two parameters such that when fixing one parameter QFAs can be exponentially more succinct than PFAs and when fixing the other parameter PFAs can be exponentially more succinct than DFAs.

State-transition matrixDiscrete mathematicsDeterministic finite automatonUnary operationMarkov chainUnary languageProbabilistic logicQuantum finite automataBinary numberComputer Science::Computational ComplexityComputer Science::Formal Languages and Automata TheoryMathematics
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Shrinking language models by robust approximation

2002

We study the problem of reducing the size of a language model while preserving recognition performance (accuracy and speed). A successful approach has been to represent language models by weighted finite-state automata (WFAs). Analogues of classical automata determinization and minimization algorithms then provide a general method to produce smaller but equivalent WFAs. We extend this approach by introducing the notion of approximate determinization. We provide an algorithm that, when applied to language models for the North American Business task, achieves 25-35% size reduction compared to previous techniques, with negligible effects on recognition time and accuracy.

Theoretical computer scienceFinite-state machineNested wordComputer scienceQuantum finite automataAutomata theoryLanguage modelAlgorithmNatural languageAutomatonProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)
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Quantum Computers and Quantum Automata

2000

Quantum computation is a most challenging project involving research both by physicists and computer scientists. The principles of quantum computation differ from the principles of classical computation very much. When quantum computers become available, the public-key cryptography will change radically. It is no exaggeration to assert that building a quantum computer means building a universal code-breaking machine. Quantum finite automata are expected to appear much sooner. They do not generalize deterministic finite automata. Their capabilities are incomparable.

Theoretical computer scienceFinite-state machinebusiness.industryComputationTheoryofComputation_GENERALCryptographyQuantum circuitDeterministic finite automatonRegular languageComputerSystemsOrganization_MISCELLANEOUSQuantum finite automatabusinessMathematicsQuantum computer
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Quantum versus Probabilistic One-Way Finite Automata with Counter

2001

The paper adds the one-counter one-way finite automaton [6] to the list of classical computing devices having quantum counterparts more powerful in some cases. Specifically, two languages are considered, the first is not recognizable by deterministic one-counter one-way finite automata, the second is not recognizable with bounded error by probabilistic one-counter one-way finite automata, but each recognizable with bounded error by a quantum one-counter one-way finite automaton. This result contrasts the case of one-way finite automata without counter, where it is known [5] that the quantum device is actually less powerful than its classical counterpart.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordComputer scienceTimed automatonBüchi automatonω-automatonNondeterministic finite automaton with ε-movesTuring machinesymbols.namesakeDFA minimizationDeterministic automatonContinuous spatial automatonQuantum finite automataDeterministic system (philosophy)Two-way deterministic finite automatonNondeterministic finite automatonDiscrete mathematicsFinite-state machineQuantum dot cellular automatonNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonProbabilistic automatonsymbolsAutomata theoryComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Multiple Usage of Random Bits in Finite Automata

2012

Finite automata with random bits written on a separate 2-way readable tape can recognize languages not recognizable by probabilistic finite automata. This shows that repeated reading of random bits by finite automata can have big advantages over one-time reading of random bits.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordFinite-state machineTheoretical computer scienceKolmogorov complexityComputer scienceω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesBit fieldTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESsymbolsQuantum finite automataAutomata theoryArithmeticComputer Science::DatabasesComputer Science::Formal Languages and Automata Theory
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Tally languages accepted by Monte Carlo pushdown automata

1997

Rather often difficult (and sometimes even undecidable) problems become easily decidable for tally languages, i.e. for languages in a single-letter alphabet. For instance, the class of languages recognizable by 1-way nondeterministic pushdown automata equals the class of the context-free languages, but the class of the tally languages recognizable by 1-way nondeterministic pushdown automata, contains only regular languages [LP81]. We prove that languages over one-letter alphabet accepted by randomized one-way 1-tape Monte Carlo pushdown automata are regular. However Monte Carlo pushdown automata can be much more concise than deterministic 1-way finite state automata.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordTheoretical computer scienceComputational complexity theoryComputer scienceDeterministic pushdown automatonTuring machinesymbols.namesakeRegular languageComputer Science::Logic in Computer ScienceQuantum finite automataNondeterministic finite automatonDiscrete mathematicsFinite-state machineDeterministic context-free languageComputabilityDeterministic context-free grammarContext-free languagePushdown automatonAbstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Cone (formal languages)Embedded pushdown automatonUndecidable problemNondeterministic algorithmTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonsymbolsComputer Science::Programming LanguagesAlphabetComputer Science::Formal Languages and Automata Theory
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Local automata and completion

1993

The problem of completing a finite automata preserving its properties is here investigated in the case of deterministic local automata. We show a decision procedure and give an algorithm which complete a deterministic local automaton (if the completion exists) with another one, having the same number of states.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordTheoretical computer scienceComputer scienceTimed automatonω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonDFA minimizationAutomata theoryQuantum finite automataNondeterministic finite automatonComputer Science::Formal Languages and Automata Theory
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Ultrametric Finite Automata and Turing Machines

2013

We introduce a notion of ultrametric automata and Turing machines using p-adic numbers to describe random branching of the process of computation. These automata have properties similar to the properties of probabilistic automata but complexity of probabilistic automata and complexity of ultrametric automata can differ very much.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceComputer scienceSuper-recursive algorithmProbabilistic Turing machineDescription numberNonlinear Sciences::Cellular Automata and Lattice GasesTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTuring completenesssymbolsQuantum finite automataAutomata theoryTwo-way deterministic finite automatonComputer Science::Formal Languages and Automata TheoryMathematicsofComputing_DISCRETEMATHEMATICS
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