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Publication Citation: Toward scalable ion traps for quantum information processing

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Author(s): Jason Amini; Hermann Uys; Janus H. Wesenberg; Signe Seidelin; Joseph W. Britton; John J. Bollinger; Dietrich G. Leibfried; Christian Ospelkaus; Aaron Vandevender; David J. Wineland;
Title: Toward scalable ion traps for quantum information processing
Published: March 16, 2010
Abstract: The basic components for a quantum information processor using trapped ions have been demonstrated in a number of experiments. To perform complex algorithms that are not tractable with classical computers, these components need to be integrated and scaled to larger numbers of qubits. Both integration and scaling can be achieved by making trap arrays with many zones. In one possible scheme, information is shared between zones by physically transporting the ions between trapping zones that have various specialized functionality, such as detection, storage, and logic gates. We report here on an implementation of a large array built in a `surface-electrode' geometry. It has 150 transport zones, six `Y' type junctions, and is, in principle, scalable to an arbitrarily large number of zones. It demonstrates use of a basic component design library that can be quickly assembled to form structures designed for a particular experiment or, in the future, a particular algorithm. Microfabricated using basic processes on a single substrate, the traps are amenable to rapid mass fabrication.
Citation: New Journal of Physics
Volume: 12
Pages: 15 pp.
Keywords: computing;ion;microfabricated;quantum;trap;scalability
Research Areas: Ion Trapping, Physics, Quantum Information
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