SQMS

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Happy World Quantum Day, Fermilab advances quantum science and technology

    From Physics World, April 13, 2023: In recognition of World Quantum Day today, Physics World speaks with Fermilab’s Anna Grassellino, director of the U.S. Department of Energy’s Superconducting Quantum Materials and Systems Center. In this podcast, Grassellino explains how SQMS brings together people with a broad range of expertise to create new quantum technologies and how quantum sensors can be used to look for physics beyond the Standard Model.

    National Quantum Initiative Centers Summit

      From Whitehouse.gov, Dec. 5, 2022: Last week the White House Office of Science and Technology Policy hosted the thirteen National Quantum Initiative and National Defense Authorization Act research centers to discuss the most pressing scientific and workforce challenges affecting quantum information science and the impacts and benefits of the field to society. Fermilab’s Sam Posen and Jens Koch attended the summit to present SQMS’s mission, major scientific impacts, as well their approaches to building multi-disciplinary research teams, engagement with industry, and education and outreach.

      Quantum Research Bits: Is silicon the ideal substrate for qubits? It depends who you ask.

        From Semiconducting Engineering, September 12, 2022: How do you extend the lifespan of qubits? Researchers at the Supercomputing Quantum Materials and Systems Center say silicon limits the lifespan of qubits because of quantum decoherence. Fermilab’s Alexander Romanenko discusses recently published research on how individual sub-components contribute to the decoherence of the qubits. Could sapphire be a better choice for future quantum chips?

        Radiology, meet ‘3D-based superconducting radiofrequency computers’

          From Radiology Business, July 21, 2022: Read more about the research collaboration between NYU Langone and SQMS in a pilot program which will pair two young researchers from each institution. The aim of the program is for researchers to develop algorithms used by future SQMS quantum computers to make accurate and rapid estimations of multiple tissue properties from MRI scans.