3D-Printed Micro Ion Trap Technology for Scalable Quantum Information Processing

ORAL · Invited

Abstract

Modern trapped-ion quantum information processing experiments usually rely on photo-lithographic techniques to miniaturize the traps and meet scalability requirements. Using photolithography, it is challenging to fabricate the complex three-dimensional electrode structures required for optimal confinement. Here we address these limitations by adopting a high-resolution 3D printing technology based on two-photon polymerization supporting fabrication of large arrays of high-performance miniaturized 3D traps. We show that 3D-printed ion traps combine the advantages of traditionally machined 3D traps with the miniaturization provided by photolithography by confining single calcium ions in a small 3D-printed ion trap with radial trap frequencies ranging from 2 MHz to 24 MHz. The tight confinement eases ion cooling requirements and allows us to demonstrate high-fidelity coherent operations on an optical qubit after only Doppler cooling. With 3D printing technology, the design freedom is drastically expanded without sacrificing scalability and precision so that ion trap geometries can be optimized for higher performance and better functionality.

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Publication: "3D-Printed Micro Ion Trap Technology for Scalable Quantum Information Processing"
S. Xu, X. Xia, Q. Yu, S. Khan, E. Megidish, B. You, B. Hemmerling, A. Jayich, J. Biener, H. Häffner
arXiv:2310.00595.

Presenters

  • Hartmut Haeffner

    University of California, Berkeley, University of California Berkeley, and Lawrence Berkeley National Laboratory

Authors

  • Hartmut Haeffner

    University of California, Berkeley, University of California Berkeley, and Lawrence Berkeley National Laboratory

  • Shuqi Xu

    UC Berkeley

  • Xiaoxing Xia

    Lawrence Livermore National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratories

  • Qian Yu

    University of California, Berkeley

  • Sumanta Khan

    University of California, Berkeley

  • Eli Megidish

    Atom Computing

  • Bingran You

    University of California, Berkeley, UC Berkeley

  • Bingran You

    University of California, Berkeley, UC Berkeley

  • Merrell Brzeczek

    University of California, Santa Barbara, UC Santa Barbara

  • Sean W Buechele

    University of California, Santa Barbara, UC Santa Barbara

  • Boerge Hemmerling

    University of California, Riverside

  • Andrew Jayich

    University of California, Santa Barbara, UC Santa Barbara

  • Abhinav Parakh

    Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratories

  • Kristin M Beck

    Lawrence Livermore National Laboratory

  • Juergen Biener

    Lawrence Livermore National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratories