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.

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Presenters

  • Michael Straus

    • Duke University

Authors

  • Michael Straus

    • Duke University
  • Abhishek Menon

    • Rice University
  • Liam Jeanette

    • Duke University, NC, 27708
  • George Tomaras

    • Rice University
  • Visal So

    • Rice University
  • Xinyi Dai

  • Midhuna Duraisamy Suganthi

    • Rice University
  • Yuanheng Xie

    • Duke University
  • Roman Zhuravel

    • TAMOS inc.
  • Guido Pagano

    • TAMOS inc.
  • Norbert Linke

    • Duke University