A monolithic blade trap for quantum information processing with high-mass ions

POSTER

Abstract

Trapped ions are at the forefront of quantum computing, simulation, and precision metrology. Through a partnership between Duke University, Rice University, and Translume Inc., we have developed and characterized 3D monolithic, segmented blade traps. Our approach merges the advantages of macroscopic traps—including high-depth symmetric potentials and superior optical access—with the scalability and geometric accuracy of microfabrication.

Our third-generation architecture, currently operating at Rice, focuses on minimizing heating rates and micromotion instability by isolating DC electrodes from high-voltage RF and enhancing heat dissipation. The latest fourth-generation trap, deployed at Duke, optimizes the ion-electrode gap to improve stability and lower the voltage requirements for target secular frequencies.

Presenters

  • Michael W Straus

    • Duke University

Authors

  • Michael W Straus

    • Duke University
  • Abhishek Menon

    • Rice University
  • Liam Jeanette

    • Duke University
  • George Tomaras

    • Rice University
  • Visal So

    • Rice University
  • Xinyi Dai

    • Duke University
  • Midhuna Suganthi Duraisamy

    • Rice University
  • Yuanheng Xie

    • Duke University
  • Roman Zhuravel

    • TAMOS Inc.
    • Rice University
  • Guido Pagano

    • Rice University
  • Norbert M Linke

    • University of Maryland College Park