Robust Quantum Information Processing with Trapped Ions in a Surface Trap

ORAL

Abstract

Microfabricated surface ion traps provide a scalable platform for building a trapped ion quantum information processor. These multi-segmented traps are fabricated using existing silicon processing technology and can provide the capability to store a chain of ions and shuttle parts of the chain to various locations within the trap structure. Utilizing micro-mirrors fabricated using microelectromechanical systems (MEMS) technology, we focus and shift Raman laser beams to individual ions in the chain to perform quantum logic gates on them. Using a microfabricated surface trap made by Sandia National Laboratories we demonstrate individually addressed single qubit gates on a chain of ions driven by a repetition-rate-stabilized frequency comb. Compensating pulse sequences were utilized to mitigate the effect of the intensity fluctuations of the Raman beams. Our MEMS-based individual addressing system requires around 5 $\mu$s to switch between different ions in the chain with crosstalk to neighboring qubits on the order of 10$^{-5}$ characterized by the intensity spillover of the addressing beams. Here we present full state tomography results on un-compensated and compensated single qubit gates, single qubit gate fidelities measured by randomized benchmarking techniques, and progress towards entangling gates and their characterization.

Authors

  • Emily Mount

    • Duke University
  • Stephen Crain

    • Duke University
  • So-Young Baek

    • Duke University
  • Daniel Gaultney

    • Duke University
  • Peter Maunz

    • Sandia National Laboratories
  • Jungsang Kim

    • Duke University