Quantum Computing with Neutral Atoms at Sandia National Laboratories

Hayden McGuinness

text will be published prior to the meeting in the online (SPIE.org)version of the conference program.A link to it will appear below your paper title and author listing.Character Count: 0 | 5 As quantum systems become more complex factors such as device footprint, mechanical/thermal stability, and power consumption become increasingly important, and can even be driving determiners of system performance.I'll give an overview of some of our work on integrated photonics for neutral atom and trapped ion systems at Sandia National Laboratories.Key elements of these systems include integrated waveguides for light delivery, single-photon detectors for fluorescent detection, and microfabricated piezo-optomechanical modulators for fast and high extinction switching of delivered light.

Chuck Easttom

Mohan Sarovar, Kumar, Akshat

SAND2022-12600 O Quantum Manifold Learning is a Python code to perform manifold learning from point clouds. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Xiao Li

Peter D. D. Schwindt, Grant W. Biedermann