Search results for "COMPLEXITY"

showing 10 items of 1094 documents

Optimal Classical Random Access Codes Using Single d-level Systems

2015

Recently, in the letter [Phys. Rev. Lett. {\bf 114}, 170502 (2015)], Tavakoli et al. derived interesting results by studying classical and quantum random access codes (RACs) in which the parties communicate higher-dimensional systems. They construct quantum RACs with a bigger advantage over classical RACs compared to previously considered RACs with binary alphabet. However, these results crucially hinge upon an unproven assertion that the classical strategy "majority-encoding-identity-decoding" leads to the maximum average success probability achievable for classical RACs; in this article we provide a proof of this intuition. We characterize all optimal classical RACs and show that indeed "…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityInformation Theory (cs.IT)Computer Science - Information TheoryFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)Quantitative Biology::Cell Behavior
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Quantum finite multitape automata

1999

Quantum finite automata were introduced by C.Moore, J.P. Crutchfield, and by A.Kondacs and J.Watrous. This notion is not a generalization of the deterministic finite automata. Moreover, it was proved that not all regular languages can be recognized by quantum finite automata. A.Ambainis and R.Freivalds 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 a deterministic or probabilistic finite automata. This is the first result on …

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science::Formal Languages and Automata Theory
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The minimal probabilistic and quantum finite automata recognizing uncountably many languages with fixed cutpoints

2019

Discrete Mathematics & Theoretical Computer Science ; vol. 22 no. 1 ; Automata, Logic and Semantics ; 1365-8050

FOS: Computer and information sciencesQuantum PhysicsFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science - Computational ComplexityMathematics::LogicTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Discrete MathematicsComputer Science::Logic in Computer ScienceComputingMilieux_COMPUTERSANDSOCIETYMathematics::Metric GeometryQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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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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Quantum algorithms for formula evaluation

2010

We survey the recent sequence of algorithms for evaluating Boolean formulas consisting of NAND gates.

FOS: Computer and information sciencesQuantum PhysicsHardware_MEMORYSTRUCTURESFOS: Physical sciencesComputational Complexity (cs.CC)Computer Science::PerformanceComputer Science::Hardware ArchitectureComputer Science - Computational ComplexityComputer Science::Emerging TechnologiesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Hardware_ARITHMETICANDLOGICSTRUCTURESQuantum Physics (quant-ph)Computer Science::Operating SystemsHardware_LOGICDESIGN
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Quantum Attacks on Classical Proof Systems - The Hardness of Quantum Rewinding

2014

Quantum zero-knowledge proofs and quantum proofs of knowledge are inherently difficult to analyze because their security analysis uses rewinding. Certain cases of quantum rewinding are handled by the results by Watrous (SIAM J Comput, 2009) and Unruh (Eurocrypt 2012), yet in general the problem remains elusive. We show that this is not only due to a lack of proof techniques: relative to an oracle, we show that classically secure proofs and proofs of knowledge are insecure in the quantum setting. More specifically, sigma-protocols, the Fiat-Shamir construction, and Fischlin's proof system are quantum insecure under assumptions that are sufficient for classical security. Additionally, we show…

FOS: Computer and information sciencesQuantum PhysicsQuantum networkComputer Science - Cryptography and SecurityTheoretical computer scienceFOS: Physical sciencesQuantum capacityQuantum cryptographyQuantum error correctionQuantum algorithmQuantum informationQuantum Physics (quant-ph)Cryptography and Security (cs.CR)Quantum computerQuantum complexity theoryMathematicsComputer Science::Cryptography and Security
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Quantum algorithm for tree size estimation, with applications to backtracking and 2-player games

2017

We study quantum algorithms on search trees of unknown structure, in a model where the tree can be discovered by local exploration. That is, we are given the root of the tree and access to a black box which, given a vertex $v$, outputs the children of $v$. We construct a quantum algorithm which, given such access to a search tree of depth at most $n$, estimates the size of the tree $T$ within a factor of $1\pm \delta$ in $\tilde{O}(\sqrt{nT})$ steps. More generally, the same algorithm can be used to estimate size of directed acyclic graphs (DAGs) in a similar model. We then show two applications of this result: a) We show how to transform a classical backtracking search algorithm which exam…

FOS: Computer and information sciencesQuantum PhysicsSpeedupBacktrackingFOS: Physical sciences0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)Directed acyclic graph01 natural sciencesSearch treeCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSearch algorithm020204 information systemsComputer Science - Data Structures and AlgorithmsTernary search tree0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Quantum algorithmDepth-first searchQuantum Physics (quant-ph)MathematicsProceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
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Quantum Algorithm for Dynamic Programming Approach for DAGs. Applications for Zhegalkin Polynomial Evaluation and Some Problems on DAGs

2018

In this paper, we present a quantum algorithm for dynamic programming approach for problems on directed acyclic graphs (DAGs). The running time of the algorithm is $O(\sqrt{\hat{n}m}\log \hat{n})$, and the running time of the best known deterministic algorithm is $O(n+m)$, where $n$ is the number of vertices, $\hat{n}$ is the number of vertices with at least one outgoing edge; $m$ is the number of edges. We show that we can solve problems that use OR, AND, NAND, MAX and MIN functions as the main transition steps. The approach is useful for a couple of problems. One of them is computing a Boolean formula that is represented by Zhegalkin polynomial, a Boolean circuit with shared input and non…

FOS: Computer and information sciencesQuantum PhysicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Quantum Physics (quant-ph)MathematicsofComputing_DISCRETEMATHEMATICS
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Automata and Quantum Computing

2015

Quantum computing is a new model of computation, based on quantum physics. Quantum computers can be exponentially faster than conventional computers for problems such as factoring. Besides full-scale quantum computers, more restricted models such as quantum versions of finite automata have been studied. In this paper, we survey various models of quantum finite automata and their properties. We also provide some open questions and new directions for researchers. Keywords: quantum finite automata, probabilistic finite automata, nondeterminism, bounded error, unbounded error, state complexity, decidability and undecidability, computational complexity

FOS: Computer and information sciencesQuantum PhysicsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesTheoryofComputation_GENERALComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)68Q10 68Q12 68Q15 68Q19 68Q45Computer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputerSystemsOrganization_MISCELLANEOUSQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Superlinear advantage for exact quantum algorithms

2012

A quantum algorithm is exact if, on any input data, it outputs the correct answer with certainty (probability 1). A key question is: how big is the advantage of exact quantum algorithms over their classical counterparts: deterministic algorithms. For total Boolean functions in the query model, the biggest known gap was just a factor of 2: PARITY of N inputs bits requires $N$ queries classically but can be computed with N/2 queries by an exact quantum algorithm. We present the first example of a Boolean function f(x_1, ..., x_N) for which exact quantum algorithms have superlinear advantage over the deterministic algorithms. Any deterministic algorithm that computes our function must use N qu…

FOS: Computer and information sciencesQuantum sortGeneral Computer ScienceDeterministic algorithmGeneral MathematicsFOS: Physical sciences0102 computer and information sciencesQuantum capacityComputational Complexity (cs.CC)01 natural sciences010305 fluids & plasmasCombinatorics0103 physical sciencesQuantum phase estimation algorithmQuantum informationBoolean function010306 general physicsComputer Science::DatabasesQuantum computerMathematicsDiscrete mathematicsQuantum PhysicsFunction (mathematics)Computer Science - Computational Complexity010201 computation theory & mathematicsQuantum Fourier transformNo-teleportation theoremQuantum algorithmQuantum Physics (quant-ph)Proceedings of the forty-fifth annual ACM symposium on Theory of Computing
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