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Michael Gullans ()

Michael Gullans is a physicist in the Nanoscale Device Characterization Division at the National Institute of Standards and Technology (NIST) and a Fellow of the Joint Center for Quantum Information and Computer Science between NIST and University of Maryland, College Park (UMD).  He is also an adjunct assistant professor of physics and computer science at UMD.  His research interests center on the theoretical study of quantum information systems and quantum simulators in nonperturbative and strongly interacting limits. His current efforts are focused on the physics of error correction and fault-tolerance in near-term devices and scalable tomography of quantum many-body systems. A common theme in this research is understanding the role of randomness, noise and disorder in many-body quantum dynamics using the theoretical methods of statistical physics. The long-term goal of the research is to develop quantum simulators into reliable, computational tools for the study of many-body quantum physics and complex systems.  Gullans received his doctorate in quantum optics and condensed matter theory from Harvard University in 2013. He was a National Research Council Postdoctoral Fellow at NIST from 2014-2017 and rejoined NIST in 2020 after a postdoc at Princeton University.

Publications

Data needs and challenges for quantum dot devices automation

Author(s)
Justyna Zwolak, Jacob Taylor, Reed Andrews, Jared Benson, Garnett Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark Eriksson, Eliska Greplova, Michael Gullans, Fabian Hader, Tyler Kovach, Pranav S. Mundada, Mick Ramsey, Torbjoern Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian Weber
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum
Created September 15, 2020, Updated February 10, 2025