0000000000521292

AUTHOR

Jevgēnijs Vihrovs

showing 14 related works from this author

Limitations of Quantum Walks and Randomized Algorithms

2019

Šajā darbā tiek pētīta algoritmu sarežģītība dažādos skaitļošanas modeļos. Konkrētāk, tiek pētītas kvantu klejošanas algoritmu īpašības un ierobežojumi, kā arī varbūtisko vaicājumalgoritmu darbības laika novērtēšanas metodes. Pirmajā daļā tiek aplūkotas Grovera kvantu klejošana un meklēšana grafos. Darbā tiek sniegts vispārīgs matemātisks apraksts klejošanas lokalizācijai un meklēšanas stacionārajiem stāvokļiem. Otrajā daļā tiek aplūkotas apakšējo novērtējumu metodes varbūtisko vaicājumalgoritmu modelī. Darbā tiek pierādīta klasisko pretinieka metožu asimptotiskā ekvivalence visur definētām funkcijām, un aprakstītas to atšķirības daļēji definētām funkcijām. Tiek arī aplūkota saistība starp …

Mathematical Foundations of Computer ScienceDatorzinātnesComputer Science
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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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Doubling the success of quantum walk search using internal-state measurements

2015

In typical discrete-time quantum walk algorithms, one measures the position of the walker while ignoring its internal spin/coin state. Rather than neglecting the information in this internal state, we show that additionally measuring it doubles the success probability of many quantum spatial search algorithms. For example, this allows Grover's unstructured search problem to be solved with certainty, rather than with probability 1/2 if only the walker's position is measured, so the additional measurement yields a search algorithm that is twice as fast as without it, on average. Thus the internal state of discrete-time quantum walks holds valuable information that can be utilized to improve a…

Statistics and ProbabilityQuantum PhysicsComputer scienceDegenerate energy levelsFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear Physics01 natural sciences010305 fluids & plasmasSearch algorithmPosition (vector)Modeling and Simulation0103 physical sciencesSearch problemQuantum walkPerturbation theory (quantum mechanics)Statistical physicsQuantum Physics (quant-ph)010306 general physicsQuantumMathematical PhysicsSpin-½Journal of Physics A: Mathematical and Theoretical
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Stationary states in quantum walk search

2016

When classically searching a database, having additional correct answers makes the search easier. For a discrete-time quantum walk searching a graph for a marked vertex, however, additional marked vertices can make the search harder by causing the system to approximately begin in a stationary state, so the system fails to evolve. In this paper, we completely characterize the stationary states, or 1-eigenvectors, of the quantum walk search operator for general graphs and configurations of marked vertices by decomposing their amplitudes into uniform and flip states. This infinitely expands the number of known stationary states and gives an optimization procedure to find the stationary state c…

Connected componentPhysicsQuantum PhysicsFOS: Physical sciences01 natural sciencesGraphOracle010305 fluids & plasmasVertex (geometry)CombinatoricsSearch algorithm0103 physical sciencesBipartite graphQuantum walkQuantum Physics (quant-ph)010306 general physicsStationary statePhysical Review A
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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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Exact affine counter automata

2017

We introduce an affine generalization of counter automata, and analyze their ability as well as affine finite automata. Our contributions are as follows. We show that there is a language that can be recognized by exact realtime affine counter automata but by neither 1-way deterministic pushdown automata nor realtime deterministic k-counter automata. We also show that a certain promise problem, which is conjectured not to be solved by two-way quantum finite automata in polynomial time, can be solved by Las Vegas affine finite automata. Lastly, we show that how a counter helps for affine finite automata by showing that the language MANYTWINS, which is conjectured not to be recognized by affin…

FOS: Computer and information sciencesTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESautomataFormal Languages and Automata Theory (cs.FL)GeneralizationComputer scienceFOS: Physical sciencesComputer Science - Formal Languages and Automata Theorycounter automataМатематика0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)01 natural sciencesquantum computinglcsh:QA75.5-76.95Deterministic pushdown automatonComputer Science (miscellaneous)0202 electrical engineering electronic engineering information engineeringQuantum finite automataPromise problemTime complexityDiscrete mathematicsQuantum Physicscomputational complexityFinite-state machinelcsh:MathematicsИнформатикаpushdown automatalcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesКибернетикаAutomatonComputer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceAffine transformationaffine computingQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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A Potential Field Function for Overlapping Point Set and Graph Cluster Visualization

2015

In this paper we address the problem of visualizing overlapping sets of points with a fixed positioning in a comprehensible way. A standard visualization technique is to enclose the point sets in isocontours generated by bounding a potential field function. The most commonly used functions are various approximations of the Gaussian distribution. Such an approach produces smooth and appealing shapes, however it may produce an incorrect point nesting in generated regions, e.g. some point is contained inside a foreign set region. We introduce a different potential field function that keeps the desired properties of Gaussian distribution, and in addition guarantees that every point belongs to a…

Discrete mathematicsComputer sciencebusiness.industryGaussianGraph of a functionMixed graphFunction (mathematics)Strength of a graphGraphSet (abstract data type)symbols.namesakesymbolsGraph (abstract data type)Point (geometry)Artificial intelligencebusinessAlgorithm
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Size of Sets with Small Sensitivity: A Generalization of Simon’s Lemma

2015

We study the structure of sets \(S\subseteq \{0, 1\}^n\) with small sensitivity. The well-known Simon’s lemma says that any \(S\subseteq \{0, 1\}^n\) of sensitivity \(s\) must be of size at least \(2^{n-s}\). This result has been useful for proving lower bounds on the sensitivity of Boolean functions, with applications to the theory of parallel computing and the “sensitivity vs. block sensitivity” conjecture.

CombinatoricsLemma (mathematics)ConjectureBoolean functionMathematics
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Oscillatory Localization of Quantum Walks Analyzed by Classical Electric Circuits

2016

We examine an unexplored quantum phenomenon we call oscillatory localization, where a discrete-time quantum walk with Grover's diffusion coin jumps back and forth between two vertices. We then connect it to the power dissipation of a related electric network. Namely, we show that there are only two kinds of oscillating states, called uniform states and flip states, and that the projection of an arbitrary state onto a flip state is bounded by the power dissipation of an electric circuit. By applying this framework to states along a single edge of a graph, we show that low effective resistance implies oscillatory localization of the quantum walk. This reveals that oscillatory localization occ…

PhysicsQuantum PhysicsFOS: Physical sciencesState (functional analysis)Edge (geometry)Dissipation01 natural sciencesProjection (linear algebra)010305 fluids & plasmasQuantum mechanicsBounded function0103 physical sciencesQuantum walkStatistical physics010306 general physicsQuantum Physics (quant-ph)QuantumElectronic circuit
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Būla virkņu kopu jūtīgums

2013

Jūtīgums s(f) un bloku jūtīgums bs(f) ir divi plaši lietoti Būla funkciju sarežģītības mēri. Tie ir cieši saistīti ar daudziem citiem sarežģītības mēriem. Jautājums par asimptotisko attiecību starp šiem lielumiem jau ilgu laiku paliek neatrisināts, un vislabākais novērtējums sasniedz kvadrātisku atstarpi: bs(f) = Ω(s(f)^2). Darbā tiek risināts ar šo problēmu saistīts uzdevums: kāds ir mazākais iespējamais Būla virkņu kopas S ar jūtīgumu s izmērs pie nosacījuma, ka katra maska ar tieši k nofiksētiem bitiem satur vismaz vienu no S virsotnēm. Iepriekš tika atrisināts gadījums k = 0, un iegūtais rezultāts pielietots, lai uzlabotu asimptotiskās attiecības dažādiem funkciju sarežģītības mēriem. Š…

Datorzinātne
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Fakultātes zinātnisko publikāciju uzskaites sistēma

2011

Darbā tiek aprakstīta zinātnisko publikāciju uzskaites sistēma, kas ļauj apskatīt un pārvaldīt publicētus akadēmiskos rakstus. Sistēma tiek izstrādāta kā tīmekļa vietne, kas ir brīvi pieejama jebkuram interneta lietotājam. Programmatūra tiek realizēta, izmantojot HTML, PHP, JavaScript, MySQL u.c. tīmekļa izstrādes tehnoloģijas. Sistēma galvenokārt ir paredzēta Latvijas Universitātes Datorikas fakultātes darbinieku zinātnisko publikāciju uzskaitei un pašlaik tiek ieviesta lietošanā.

Datorzinātne
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Jaunas sakarības starp Būla funkciju jutīgumu un bloku jutīgumu

2015

Darbā tiek pētīta neatrisināta problēma skaitļošanas sarežģītības teorijā – Būla funkciju jutīguma s(f) saistība ar tādiem sarežģītības mēriem kā bloku jutīgums bs(f) un sertifikātu sarežģītība C(f). Populāra hipotēze apgalvo, ka jutīgums ir polinomiāli saistīts ar bloku jutīgumu un bs(f) = O(s(f)^c) kādai konstantei c. Līdz šim labākais zināmais novērtējums no augšas abiem mēriem ir eksponenciāls, bs(f) ≤ C(f) ≤ 2^(s(f)-1) s(f) - s(f) + 1, bet labākie atrastie piemēri sasniedz tikai kvadrātisku atstarpi, bs(f) = Ω(s(f)^2). Šajā darbā tiek pierādīts jauns novērtējums no augšas, bs(f) ≤ C(f) ≤ max(2^(s(f)-1) (s(f) - 1/3), s(f)).

jutīgumssertifikātu sarežģītībaDatorzinātnefunkciju sarežģītībaBūla funkcijasbloku jutīgums
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Full Characterization of Oscillatory Localization of Quantum Walks

2016

Discrete-time quantum walks are well-known for exhibiting localization, a quantum phenomenon where the walker remains at its initial location with high probability. In companion with a joint Letter, we introduce oscillatory localization, where the walker alternates between two states. The walk is given by the flip-flop shift, which is easily defined on non-lattice graphs, and the Grover coin. Extremely simple examples of the localization exist, such as a walker jumping back and forth between two vertices of the complete graph. We show that only two kinds of states, called flip states and uniform states, exhibit exact oscillatory localization. So the projection of an arbitrary state onto the…

Quantum PhysicsFOS: Physical sciencesQuantum Physics (quant-ph)
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