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Slideshow

2nd Southeast Quantum Computing Workshop at UGA May 18

With development timetables already showing practical quantum computing machines arriving much sooner than expected, researchers from the region will gather at UGA for second consecutive year fotr discussion on new work and ideas at the Southeast Quantum Computing Workshop May 18:

Quantum computers, which use quantum states of subatomic particles to store information, was initiated as a field in 1980, and though its development remains in the early stages, some online capabilities are now available. Large-scale quantum computers would be able to solve certain problems faster than ­classical computers and also to solve problems that are not practically feasible on classical computers.

Invited speakers for the workshop include Eugene Dumitrescu, research scientist at Oak Ridge National Laboratory; Jeffrey Cohn, ­doctoral candidate at Georgetown University; and Muyuan Li, doctoral student in ­computational science and engineering at Duke ­University.

The growing impact and capacity of ­quantum computing is the focus of the regional workshop, which will offer researchers an ­opportunity to share short presentations on their work with interested colleagues.

To learn more and to register for the conference, visit https://bit.ly/2HVhr3D.

"The field is experiencing explosive growth, especially on the commercial side, with more than 50 start-ups worldwide focusing on quantum computing hardware and software,” said Michael Geller, professor of physics in the Center for Simulational Physics at UGA whose research focuses on the use of first-generation quantum computers. “This technology promises to be transformative in its application to machine learning, quantum chemistry, and cybersecurity." 

Welcome to all visiting facuty and graduate students, we hope these meetings and presentations seed new partnerships and collaborations.

Image: Photograph of a chip constructed by D-Wave Systems Inc. designed to operate as a 128-qubit superconducting adiabatic quantum optimization processor, mounted in a sample holder, via wikimedia commons

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