3D-printed ion traps for scalable quantum information processing
POSTER
Abstract
A 3D-printed trap fabricated at LLNL has recently demonstrated single ion coherent manipulations, confirming compatibility of materials with ion-trap quantum hardware [1]. In spite of impressive performance metrics, the trap design is not scalable. In this poster, we describe our effort towards setting up an ion trapping experiment to explore scalable 3D-printed ion
traps. Millimeter-scale traps have been printed at LLNL with their axis parallel to the trap substrate. In conjunction with dc control-electrodes on the surface, these traps will enable ion transport operations for the QCCD architecture. In the near term, we will benchmark the performance of the printed ion traps with a trapped 40Ca+ ion.
Prepared by LLNL under Contract DE-AC52-07NA27344.
[1] S. Xu, X. Xia et al., arXiv:2310.00595v2 (2023).
traps. Millimeter-scale traps have been printed at LLNL with their axis parallel to the trap substrate. In conjunction with dc control-electrodes on the surface, these traps will enable ion transport operations for the QCCD architecture. In the near term, we will benchmark the performance of the printed ion traps with a trapped 40Ca+ ion.
Prepared by LLNL under Contract DE-AC52-07NA27344.
[1] S. Xu, X. Xia et al., arXiv:2310.00595v2 (2023).
Presenters
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Sayan Patra
Lawrence Livermore National Laboratory
Authors
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Sayan Patra
Lawrence Livermore National Laboratory
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Abhinav Parakh
Lawrence Livermore National Laboratory
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Shuqi Xu
University of California, Berkeley
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Xiaoxing Xia
Lawrence Livermore National Laboratory
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Juergen Biener
Lawrence Livermore National Laboratory
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Hartmut Haeffner
University of California, Berkeley
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Kristin M Beck
Lawrence Livermore National Laboratory