Search results for "Quantum search"

showing 8 items of 8 documents

Grover’s Algorithm with Errors

2013

Grover’s algorithm is a quantum search algorithm solving the unstructured search problem of size n in \(O(\sqrt{n})\) queries, while any classical algorithm needs O(n) queries [3].

Discrete mathematicsDensity matrixComputer Science::Information RetrievalProbability of errorGrover's algorithmMatrix normSearch problemQuantum algorithmQuantum search algorithmComputer Science::DatabasesMathematics
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Upperbounds on the probability of finding marked connected components using quantum walks

2019

Quantum walk search may exhibit phenomena beyond the intuition from a conventional random walk theory. One of such examples is exceptional configuration phenomenon -- it appears that it may be much harder to find any of two or more marked vertices, that if only one of them is marked. In this paper, we analyze the probability of finding any of marked vertices in such scenarios and prove upper bounds for various sets of marked vertices. We apply the upper bounds to large collection of graphs and show that the quantum search may be slow even when taking real-world networks.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)FOS: Physical sciences01 natural sciencesUpper and lower bounds010305 fluids & plasmasTheoretical Computer Science0103 physical sciencesFOS: MathematicsMathematics - CombinatoricsQuantum walkElectrical and Electronic Engineering010306 general physicsQuantum computerMathematicsDiscrete mathematicsConnected componentQuantum PhysicsStatistical and Nonlinear PhysicsRandom walkQuantum searchElectronic Optical and Magnetic MaterialsModeling and SimulationSignal ProcessingCombinatorics (math.CO)Quantum Physics (quant-ph)Stationary stateComputer Science - Discrete Mathematics
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Quadratic speedup for finding marked vertices by quantum walks

2020

A quantum walk algorithm can detect the presence of a marked vertex on a graph quadratically faster than the corresponding random walk algorithm (Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked element quadratically faster than a classical random walk were only known for the special case when the marked set consists of just a single vertex, or in the case of some specific graphs. We present a new quantum algorithm for finding a marked vertex in any graph, with any set of marked vertices, that is (up to a log factor) quadratically faster than the corresponding classical random walk.

FOS: Computer and information sciencesQuadratic growthQuantum PhysicsQuantum algorithmsSpeedupMarkov chainMarkov chainsProbability (math.PR)FOS: Physical sciencesRandom walkVertex (geometry)CombinatoricsQuadratic equationSearch by random walkQuantum searchComputer Science - Data Structures and AlgorithmsFOS: MathematicsData Structures and Algorithms (cs.DS)Quantum walkQuantum algorithmQuantum Physics (quant-ph)Mathematics - ProbabilityMathematicsQuantum walks
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Quantum Search with Multiple Walk Steps per Oracle Query

2015

We identify a key difference between quantum search by discrete- and continuous-time quantum walks: a discrete-time walk typically performs one walk step per oracle query, whereas a continuous-time walk can effectively perform multiple walk steps per query while only counting query time. As a result, we show that continuous-time quantum walks can outperform their discrete-time counterparts, even though both achieve quadratic speedups over their corresponding classical random walks. To provide greater equity, we allow the discrete-time quantum walk to also take multiple walk steps per oracle query while only counting queries. Then it matches the continuous-time algorithm's runtime, but such …

PhysicsQuantum PhysicsSpeedupLoop-erased random walkFOS: Physical sciencesRandom walk01 natural sciencesAtomic and Molecular Physics and OpticsOracleQuantum search010305 fluids & plasmasQuadratic equationMathematics::Probability0103 physical sciencesKey (cryptography)Quantum walkQuantum Physics (quant-ph)010306 general physicsAlgorithmComputer Science::Databases
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Quantum search by parallel eigenvalue adiabatic passage

2008

We propose a strategy to achieve the Grover search algorithm by adiabatic passage in a very efficient way. An adiabatic process can be characterized by the instantaneous eigenvalues of the pertaining Hamiltonian, some of which form a gap. The key to the efficiency is based on the use of parallel eigenvalues. This allows us to obtain non-adiabatic losses which are exponentially small, independently of the number of items in the database in which the search is performed.

PhysicsQuantum Physics[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]FOS: Physical sciencesAdiabatic quantum computation01 natural sciencesAtomic and Molecular Physics and OpticsQuantum search010305 fluids & plasmassymbols.namesake[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Search algorithmQuantum mechanics0103 physical sciencesComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONsymbolsStatistical physics010306 general physicsAdiabatic processHamiltonian (quantum mechanics)Quantum Physics (quant-ph)Eigenvalues and eigenvectors[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]ComputingMilieux_MISCELLANEOUSQuantum computer
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Diagrammatic approach to quantum search

2014

We introduce a simple diagrammatic approach for estimating how a randomly walking quantum particle searches on a graph in continuous-time, which involves sketching small weighted graphs with self-loops and considering degenerate perturbation theory's effects on them. Using this method, we give the first example of degenerate perturbation theory solving search on a graph whose evolution occurs in a subspace whose dimension grows with $N$.

Quantum PhysicsQuantum particleDegenerate energy levelsFOS: Physical sciencesStatistical and Nonlinear PhysicsQuantum searchGraphTheoretical Computer ScienceElectronic Optical and Magnetic MaterialsDiagrammatic reasoningModeling and SimulationSignal ProcessingStatistical physicsElectrical and Electronic EngineeringQuantum Physics (quant-ph)Subspace topologyMathematicsQuantum Information Processing
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Grover’s Search with Faults on Some Marked Elements

2018

Grover’s algorithm is a quantum query algorithm solving the unstructured search problem of size [Formula: see text] using [Formula: see text] queries. It provides a significant speed-up over any classical algorithm [3]. The running time of the algorithm, however, is very sensitive to errors in queries. Multiple authors have analysed the algorithm using different models of query errors and showed the loss of quantum speed-up [2, 6]. We study the behavior of Grover’s algorithm in the model where the search space contains both faulty and non-faulty marked elements. We show that in this setting it is indeed possible to find one of marked elements in [Formula: see text] queries. We also analyze…

Quantum queryComputational complexity theoryComputer science0103 physical sciencesComputer Science (miscellaneous)Search problemFault toleranceQuantum search algorithm010306 general physics01 natural sciencesAlgorithm010305 fluids & plasmasInternational Journal of Foundations of Computer Science
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Quantum Walk Search with Time-Reversal Symmetry Breaking

2015

We formulate Grover's unstructured search algorithm as a chiral quantum walk, where transitioning in one direction has a phase conjugate to transitioning in the opposite direction. For small phases, this breaking of time-reversal symmetry is too small to significantly affect the evolution: the system still approximately evolves in its ground and first excited states, rotating to the marked vertex in time $\pi \sqrt{N} / 2$. Increasing the phase does not change the runtime, but rather changes the support for the 2D subspace, so the system evolves in its first and second excited states, or its second and third excited states, and so forth. Apart from the critical phases corresponding to these…

Statistics and ProbabilityPhysicsQuantum PhysicsGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsQuantum searchVertex (geometry)T-symmetrySearch algorithmModeling and SimulationExcited stateQuantum mechanicsQuantum walkSymmetry breakingQuantum Physics (quant-ph)Mathematical PhysicsSubspace topology
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