Announcements

Here’s what’s going on at the QPL:

  • August, 2022: The Quantum Performance Lab is growing! We are seeking to hire both staff members and postdoctoral scholars. If you have (or are about to get) a PhD in a STEM field related to quantum information science, and are excited about inventing new techniques to measure or improve the performance of quantum computing hardware, we’d love to hear from you. See our Job Opportunities page for more information.
  • July, 2022: The QPL is excited to announce that Timothy Proctor has received a prestigious DOE Early Career award for proposed research in “Quantum Capability Learning”. Dr. Proctor and the QPL plan to develop scalable proxy programs for efficiently testing quantum computers, and machine learning and multi-scaling modeling methods that predict a quantum computer’s computational power from proxy program data.
  • April, 2022: Science Advances has published "Two-qubit silicon quantum processor with operation fidelity exceeding 99%", a collaboration between Princeton researchers led by Jason Petta and QPL researcher Erik Nielsen. Congratulations to Erik!  You can read more about this achievement at phys.org.
  • March, 2022: The QPL has partnered with Q-CTRL to work on automated calibration, characterization, and optimization of near-term quantum processors. This project is funded through the Department of Energy’s US Small Business Innovation Research (SBIR) program, and was highlighted in a news releases from InnovationAus and HPC Wire.
  • February, 2022: Congratulations to QPL members Erik Nielsen, Tim Proctor, Kenny Rudinger, Kevin Young, and Robin Blume-Kohout (and QPL affiliate Andrew Baczewski) for receiving a 2022 Sandia Employee Recognition Award for their precision characterization of a silicon qubit system. This work was featured on the cover of Nature!
  • January, 2022: Our article "Precision tomography of a three-qubit electron-nuclear quantum processor in silicon" is on the cover of Nature! It was also highlighted by a News & Views piece, a YouTube video, and news releases by Sandia and ScienceInPublic.
  • January, 2022: Our paper "Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography" is an Editor’s Suggestion in Physical Review Applied. Congratulations (especially) to first author Kenny Rudinger!
  • December, 2021: Our paper "Measuring the performance of quantum computers" has been published in Nature Physics! Congratulations (especially) to first author Tim Proctor! IEEE Spectrum published a neat article about this work.
  • October, 2021: Our paper "Gate set tomography" was highlighted by a Perspective in Quantum. Congratulations (especially) to first author Erik Nielsen!
  • October, 2021: PyGSTi version 0.9.10 has been released!
  • September, 2021: Welcome to Megan Lilly Dahlhauser, who has joined the QPL in Albuquerque, NM as a postdoctoral scholar.
  • July, 2021: Welcome to Daniel Hothem, who has joined the QPL in Livermore, CA as a postdoctoral scholar.
  • June, 2021: Welcome to Corey Ostrove, who has joined the QPL in Albuquerque, NM as a postdoctoral scholar.
  • November, 2020: Welcome to Stefan Seritan, who has joined Sandia and the QPL in Livermore, CA as a staff scientist.
  • October, 2020: Our paper "Detecting crosstalk errors in quantum information processors" was highlighted by a Perspective in Quantum. Congratulations (especially) to first author Mohan Sarovar!
  • July, 2020: The QPL is excited to announce that Kevin Young has received a prestigious DOE Early Career award for proposed research in “Quantum Performance Enhancement”.  Dr. Young and the QPL plan to leverage our work on characterizing quantum devices to develop innovative techniques for debugging, tuning, and calibrating quantum hardware in situ.