Feedback-based calibration for rapid tuning and drift control of quantum processors

Conference · Sun Oct 01 04:00:00 EDT 2023

DOI:https://doi.org/10.2172/2999643· OSTI ID:2999643

Magann, Alicia Bette ^[1]; Young, Kevin Christopher ^[2]; Blume-Kohout, Robin J ^[1]; Miller, Nathan Eli ^[1]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
2. Sandia National Laboratories (SNL-CA), Livermore, CA (United States)

This presentation will cover an abstract that has been submitted to the conference, but will not include a paper publication. The presentation details an experimental method for calibrating quantum bits and quantum circuits. All of the data on the slides has been gathered via PyGSTi, an open-source Python-based software developed by Sandia's Quantum Performance Laboratory.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: Advanced Scientific Computing Research
• DOE Contract Number: NA0003525
• OSTI ID: 2999643
• Report Number(s): SAND2024-14536C; 1724279
• Country of Publication: United States
• Language: English