Search results for "Boolean function"

showing 8 items of 38 documents

Quadratically Tight Relations for Randomized Query Complexity

2020

In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R(f). The certificate complexity C(f) is such a complexity measure for the zero-error randomized query complexity R0(f): C(f) ≤R0(f) ≤C(f)2. In the first part of the paper we introduce a new complexity measure, expectational certificate complexity EC(f), which is also a quadratically tight bound on R0(f): EC(f) ≤R0(f) = O(EC(f)2). For R(f), we prove that EC2/3 ≤R(f). We then prove that EC(f) ≤C(f) ≤EC(f)2 and show that there is a quadratic separation between the two, thus EC(f) gives a tighter upper bound for R0(f). The measure is also related to the fractional…

Quadratic growth[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]0209 industrial biotechnology0102 computer and information sciences02 engineering and technologyMeasure (mathematics)Upper and lower bounds01 natural sciencesACM: F.: Theory of ComputationSquare (algebra)Computation Theory & MathematicsTheoretical Computer ScienceCombinatoricsQuadratic equation020901 industrial engineering & automationComputational Theory and Mathematics010201 computation theory & mathematicsTheory of computationInformation complexity[INFO]Computer Science [cs]0102 Applied Mathematics 0802 Computation Theory and Mathematics 0805 Distributed ComputingCommunication complexityBoolean functionComputingMilieux_MISCELLANEOUSMathematics
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Properties and application of nondeterministic quantum query algorithms

2006

Many quantum algorithms can be analyzed in a query model to compute Boolean functions where input is given by a black box. As in the classical version of decision trees, different kinds of quantum query algorithms are possible: exact, zero-error, bounded-error and even nondeterministic. In this paper, we study the latter class of algorithms. We introduce a fresh notion in addition to already studied nondeterministic algorithms and introduce dual nondeterministic quantum query algorithms. We examine properties of such algorithms and prove relations with exact and nondeterministic quantum query algorithm complexity. As a result and as an example of the application of discovered properties, we…

Quantum PhysicsClass (set theory)Quantum queryComputer scienceDecision treeFOS: Physical sciencesDUAL (cognitive architecture)Nondeterministic algorithmBlack boxQuantum algorithmQuantum Physics (quant-ph)Boolean functionAlgorithmComputer Science::DatabasesSPIE Proceedings
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Recent Developments in Quantum Algorithms and Complexity

2014

We survey several recent developments in quantum algorithms and complexity: Reichardt’s characterization of quantum query algorithms via span programs [15]; New bounds on the number of queries that are necessary for simulating a quantum algorithm that makes a very small number of queries [2]; Exact quantum algorithms with superlinear advantage over the best classical algorithm [4].

Quantum queryComputer scienceSmall number0102 computer and information sciences02 engineering and technologySpan (engineering)01 natural sciences010201 computation theory & mathematicsComputerSystemsOrganization_MISCELLANEOUS020204 information systems0202 electrical engineering electronic engineering information engineeringQuantum algorithmBoolean functionAlgorithmComputer Science::DatabasesDescriptional Complexity of Formal Systems (16th International Workshop, DCFS 2014)
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Closedness Properties in EX-Identification of Recursive Functions

1998

In this paper we investigate in which cases unions of identifiable classes of recursive functions are also necessarily identifiable. We consider identification in the limit with bounds on mindchanges and anomalies. Though not closed under the set union, these identification types still have features resembling closedness. For each of them we find such n that 1) if every union of n - 1 classes out of U1;, . . ., Un is identifiable, so is the union of all n classes; 2) there are such classes U1;, . . ., Un-1 that every union of n-2 classes out of them is identifiable, while the union of n - 1 classes is not. We show that by finding these n we can distinguish which requirements put on the iden…

Set (abstract data type)Discrete mathematicsIdentification (information)Limit (category theory)AlgorithmicsInferenceIdentifiabilityInductive reasoningBoolean functionMathematics
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Boolean operations with implicit and parametric representation of primitives using R-functions

2005

We present a new and efficient algorithm to accurately polygonize an implicit surface generated by multiple Boolean operations with globally deformed primitives. Our algorithm is special in the sense that it can be applied to objects with both an implicit and a parametric representation, such as superquadrics, supershapes, and Dupin cyclides. The input is a constructive solid geometry tree (CSG tree) that contains the Boolean operations, the parameters of the primitives, and the global deformations. At each node of the CSG tree, the implicit formulations of the subtrees are used to quickly determine the parts to be transmitted to the parent node, while the primitives' parametric definition …

Surface (mathematics)Theoretical computer scienceComputer scienceInformation Storage and Retrieval02 engineering and technologyConstructive solid geometryImaging Three-DimensionalParametric surfaceSuperquadricsImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringparametric surfaceDifferentiable functionBoolean functionRepresentation (mathematics)ComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSParametric statisticsGielis curveImplicit functionNumerical analysis020207 software engineeringNumerical Analysis Computer-Assistedsupershape[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Computational geometryImage EnhancementComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Vertex (geometry)Tree (data structure)Mesh generation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Signal ProcessingCurve fitting020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmSoftwareAlgorithms
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High precision quantum query algorithm for computing AND-based boolean functions

2010

Quantum algorithms can be analyzed in a query model to compute Boolean functions. Function input is provided in a black box, and the aim is to compute the function value using as few queries to the black box as possible. The complexity of the algorithm is measured by the number of queries on the worst-case input. In this paper we consider computing AND Boolean function. First, we present a quantum algorithm for AND of two bits. Our algorithm uses one quantum query and correct result is obtained with a probability p=4/5, that improves previous results. The main result is generalization of our approach to design efficient quantum algorithms for computing composite function AND(f1,f2) where fi…

Theoretical computer scienceBoolean networkComputer scienceParity functionBoolean circuitQuantum phase estimation algorithmBoolean expressionQuantum algorithmBoolean functionAlgorithmQuantum computerProceedings of the 7th ACM international conference on Computing frontiers
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An improved quantum query algorithm for computing AND Boolean function

2010

We consider the quantum query model for computing Boolean functions. The definition of the function is known, but a black box contains the input X = (x 1 , x 2 , …, x n ). Black box can be accessed by querying x i values. The goal is to develop an algorithm, which would compute the function value for arbitrary input using as few queries to the black box as possible. We present two different quantum query algorithms for computing the basic Boolean function — logical AND of two bits. Both algorithms use only one query to determine the function value. Correct answer probability for the first algorithm is 80%, but for the second algorithm it is 90%. To compute this function with the same probab…

Theoretical computer scienceComputational complexity theoryLogical conjunctionBlack boxGrover's algorithmAlgorithm designFunction (mathematics)Boolean functionAlgorithmComputer Science::DatabasesQuantum computerMathematicsIEEE Congress on Evolutionary Computation
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Upper bounds on multiparty communication complexity of shifts

1996

We consider some communication complexity problems which arise when proving lower bounds on the complexity of Boolean functions. In particular, we prove an \(O(\frac{n}{{2\sqrt {\log n} }}\log ^{1/4} n)\)upper bound on 3-party communication complexity of shifts, an O(n e ) upper bound on the multiparty communication complexity of shifts for a polylogarithmic number of parties. These bounds are all significant improvements over ones recently considered “unexpected” by Pudlak [5].

TheoryofComputation_MISCELLANEOUSDiscrete mathematicsCombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYCommunication complexityBinary logarithmBoolean functionUpper and lower boundsMultiparty communicationMathematics
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