New Journal of Physics · 2013 · 343 citations · 55 references
ComputingComputer SciencePhysicsAlgorithmsQuantum ComputingQuantum MechanicsQuantum AlgorithmsQuantum BitsQuantum ComputationQuantum Fourier TransformQuantum Hardware ArchitecturesQuantum Information TheoryControl Of Trapped IonsError Rate AnalysisNoise SourcesPaul TrapsQuantum Algorithms For Information ProcessingQuantum Computing ArchitectureTrapped Ion ArchitecturesTrapped-ion Qubits
Quantum computers hold the promise to solve certain problems exponentially faster than their classical counterparts. Trapped atomic ions are among the physical systems in which building such a computing device seems viable. In this work we present a small-scale quantum information processor based on a string of $^{40}$Ca${^+}$ ions confined in a macroscopic linear Paul trap. We review our set of operations which includes non-coherent operations allowing us to realize arbitrary Markovian processes. In order to build a larger quantum information processor it is mandatory to reduce the error rate of the available operations which is only possible if the physics of the noise processes is well understood. We identify the dominant noise sources in our system and discuss their effects on different algorithms. Finally we demonstrate how our entire set of operations can be used to facilitate the implementation of algorithms by examples of the quantum Fourier transform and the quantum order finding algorithm.
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Algorithms for quantum computation: discrete logarithms and factoring
Peter W. Shor · 2002 · 8.5K citations
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J. I. Cirac, P. Zoller · Physical Review Letters · 1995 · 3.7K citations
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