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Sophie Spirkl, an assistant professor of Combinatorics and Optimization, has received a prestigious Sloan Research Fellowship from the Alfred P. Sloan Foundation. Spirkl is one of 125 early career researchers in the United States and Canada who received a Fellowship this year.

Written by Institute for Quantum Computing staff

Quantum computers can solve a linear algebra problem faster than classical computers, according to a new study published in Science. The finding proves that constant-depth quantum circuits are more powerful than their classical counterparts, and provides a new sense of how quantum technology will be a key to more powerful computing.