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.
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
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Michael W Straus
- Duke University