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Media Contacts
![Xin Sun](/sites/default/files/styles/list_page_thumbnail/public/2021-03/2018-P07541.jpg?h=49ab6177&itok=d9DdBp0M)
Xin Sun has been selected as the associate laboratory director for the Energy Science and Technology Directorate, or ESTD, at the Department of Energy’s Oak Ridge National Laboratory.
![Each point on the sphere of this visual representation of arbitrary frequency-bin qubit states corresponds to a unique quantum state, and the gray sections represent the measurement results. The zoomed-in view illustrates examples of three quantum states plotted next to their ideal targets (blue dots). Credit: Joseph Lukens/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/Fig3A-03_0.jpg?h=bf1220d2&itok=ZRCJjdRH)
A team of researchers at Oak Ridge National Laboratory and Purdue University has taken an important step toward this goal by harnessing the frequency, or color, of light. Such capabilities could contribute to more practical and large-scale quantum networks exponentially more powerful and secure than the classical networks we have today.
![Transition metals stitched into graphene with an electron beam form promising quantum building blocks. Credit: Ondrej Dyck, Andrew Lupini and Jacob Swett/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/quantum-building-blocks.jpg?h=6e276780&itok=uf-gKRle)
Oak Ridge National Laboratory scientists demonstrated that an electron microscope can be used to selectively remove carbon atoms from graphene’s atomically thin lattice and stitch transition-metal dopant atoms in their place.
![ORNL has modeled the spike protein that binds the novel coronavirus to a human cell for better understanding of the dynamics of COVID-19. Credit: Stephan Irle/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/toc_notext_0.png?h=3474dc74&itok=zSrqLz3F)
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.