Search results for "complexity"

showing 10 items of 1094 documents

Search by quantum walks on two-dimensional grid without amplitude amplification

2011

We study search by quantum walk on a finite two dimensional grid. The algorithm of Ambainis, Kempe, Rivosh (quant-ph/0402107) takes O(\sqrt{N log N}) steps and finds a marked location with probability O(1/log N) for grid of size \sqrt{N} * \sqrt{N}. This probability is small, thus amplitude amplification is needed to achieve \Theta(1) success probability. The amplitude amplification adds an additional O(\sqrt{log N}) factor to the number of steps, making it O(\sqrt{N} log N). In this paper, we show that despite a small probability to find a marked location, the probability to be within an O(\sqrt{N}) neighbourhood (at an O(\sqrt[4]{N}) distance) of the marked location is \Theta(1). This all…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Nuclear ExperimentQuantum Physics (quant-ph)
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Quantum-over-classical Advantage in Solving Multiplayer Games

2020

We study the applicability of quantum algorithms in computational game theory and generalize some results related to Subtraction games, which are sometimes referred to as one-heap Nim games. In quantum game theory, a subset of Subtraction games became the first explicitly defined class of zero-sum combinatorial games with provable separation between quantum and classical complexity of solving them. For a narrower subset of Subtraction games, an exact quantum sublinear algorithm is known that surpasses all deterministic algorithms for finding solutions with probability $1$. Typically, both Nim and Subtraction games are defined for only two players. We extend some known results to games for t…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputer Science::Computer Science and Game TheoryComputer Science - Computer Science and Game TheoryComputingMilieux_PERSONALCOMPUTINGFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science and Game Theory (cs.GT)
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Parameterized Quantum Query Complexity of Graph Collision

2013

We present three new quantum algorithms in the quantum query model for \textsc{graph-collision} problem: \begin{itemize} \item an algorithm based on tree decomposition that uses $O\left(\sqrt{n}t^{\sfrac{1}{6}}\right)$ queries where $t$ is the treewidth of the graph; \item an algorithm constructed on a span program that improves a result by Gavinsky and Ito. The algorithm uses $O(\sqrt{n}+\sqrt{\alpha^{**}})$ queries, where $\alpha^{**}(G)$ is a graph parameter defined by \[\alpha^{**}(G):=\min_{VC\text{-- vertex cover of}G}{\max_{\substack{I\subseteq VC\\I\text{-- independent set}}}{\sum_{v\in I}{\deg{v}}}};\] \item an algorithm for a subclass of circulant graphs that uses $O(\sqrt{n})$ qu…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputer Science::Information RetrievalComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Quantum Physics (quant-ph)MathematicsofComputing_DISCRETEMATHEMATICS
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New Developments in Quantum Algorithms

2010

In this survey, we describe two recent developments in quantum algorithms. The first new development is a quantum algorithm for evaluating a Boolean formula consisting of AND and OR gates of size N in time O(\sqrt{N}). This provides quantum speedups for any problem that can be expressed via Boolean formulas. This result can be also extended to span problems, a generalization of Boolean formulas. This provides an optimal quantum algorithm for any Boolean function in the black-box query model. The second new development is a quantum algorithm for solving systems of linear equations. In contrast with traditional algorithms that run in time O(N^{2.37...}) where N is the size of the system, the …

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputerSystemsOrganization_MISCELLANEOUSComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesTheoryofComputation_GENERALData Structures and Algorithms (cs.DS)Computational Complexity (cs.CC)Quantum Physics (quant-ph)
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Quantum property testing for bounded-degree graphs

2010

We study quantum algorithms for testing bipartiteness and expansion of bounded-degree graphs. We give quantum algorithms that solve these problems in time O(N^(1/3)), beating the Omega(sqrt(N)) classical lower bound. For testing expansion, we also prove an Omega(N^(1/4)) quantum query lower bound, thus ruling out the possibility of an exponential quantum speedup. Our quantum algorithms follow from a combination of classical property testing techniques due to Goldreich and Ron, derandomization, and the quantum algorithm for element distinctness. The quantum lower bound is obtained by the polynomial method, using novel algebraic techniques and combinatorial analysis to accommodate the graph s…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputerSystemsOrganization_MISCELLANEOUSTheoryofComputation_GENERALFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)
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The Need for Structure in Quantum Speedups

2009

Is there a general theorem that tells us when we can hope for exponential speedups from quantum algorithms, and when we cannot? In this paper, we make two advances toward such a theorem, in the black-box model where most quantum algorithms operate. First, we show that for any problem that is invariant under permuting inputs and outputs (like the collision or the element distinctness problems), the quantum query complexity is at least the 7th root of the classical randomized query complexity. (An earlier version of this paper gave the 9th root.) This resolves a conjecture of Watrous from 2002. Second, inspired by recent work of O'Donnell et al. (2005) and Dinur et al. (2006), we conjecture t…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFOS: Physical sciencesComputational Complexity (cs.CC)Computer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::DatabasesTheory of Computing
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Exact quantum query complexity of $\rm{EXACT}_{k,l}^n$

2016

In the exact quantum query model a successful algorithm must always output the correct function value. We investigate the function that is true if exactly $k$ or $l$ of the $n$ input bits given by an oracle are 1. We find an optimal algorithm (for some cases), and a nontrivial general lower and upper bound on the minimum number of queries to the black box.

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)
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Average/Worst-Case Gap of Quantum Query Complexities by On-Set Size

2009

This paper considers the query complexity of the functions in the family F_{N,M} of N-variable Boolean functions with onset size M, i.e., the number of inputs for which the function value is 1, where 1<= M <= 2^{N}/2 is assumed without loss of generality because of the symmetry of function values, 0 and 1. Our main results are as follows: (1) There is a super-linear gap between the average-case and worst-case quantum query complexities over F_{N,M} for a certain range of M. (2) There is no super-linear gap between the average-case and worst-case randomized query complexities over F_{N,M} for every M. (3) For every M bounded by a polynomial in N, any function in F_{N,M} has quantum que…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)
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Quantum Pushdown Automata

2001

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

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Implications of quantum automata for contextuality

2014

We construct zero-error quantum finite automata (QFAs) for promise problems which cannot be solved by bounded-error probabilistic finite automata (PFAs). Here is a summary of our results: - There is a promise problem solvable by an exact two-way QFA in exponential expected time, but not by any bounded-error sublogarithmic space probabilistic Turing machine (PTM). - There is a promise problem solvable by an exact two-way QFA in quadratic expected time, but not by any bounded-error $ o(\log \log n) $-space PTMs in polynomial expected time. The same problem can be solvable by a one-way Las Vegas (or exact two-way) QFA with quantum head in linear (expected) time. - There is a promise problem so…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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