Mathematical Structures in Computer Science · 2012 · 21 citations · 10 references
ComputingComputer ScienceMathematicsAlgorithmsQuantum ComputingTheory Of ComputationComputational ComplexityNearest Neighbor SearchQuantum AlgorithmsQuantum ComputationSearching AlgorithmsPolynomial Time ComplexityQuantum Algorithm Complexity AnalysisQuantum Algorithmic ComplexityQuantum Optimization AlgorithmsQuantum Search AlgorithmsQuantum Time ComplexitySpatial Search
The spatial search problem consists of minimising the number of steps required to find a given site in a network, with the restriction that only an oracle query or a translation to a neighbouring site is allowed at each step. We propose a quantum algorithm for the spatial search problem on a triangular lattice with N sites and torus-like boundary conditions. The proposed algorithm is a special case of the general framework for abstract search proposed by Ambainis, Kempe and Rivosh (AKR) in Ambainis et al . (2005) and Tulsi in Tulsi (2008) applied to a triangular network. The AKR–Tulsi formalism was employed to show that the time complexity of the quantum search on the triangular lattice is $O(\sqrt{N \log N})$ .
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