Taylor Research Group

JQI Fellow Jake Taylor has been recognized by the federal government for his role in expanding U.S. policy and efforts in the fiercely competitive field of quantum information science. Taylor, who is also a physicist at the National Institute of Standards and Technology (NIST), is the recipient of the 2020 Gold Medal Award from the Department of Commerce.

Researchers at JQI and their colleagues have proposed a novel method for finding dark matter, the cosmos’s mystery material that has eluded detection for decades. Dark matter makes up about 27% of the universe; ordinary matter, such as the stuff that builds stars and planets, accounts for just 5% of the cosmos. (A mysterious entity called dark energy, accounts for the other 68%.)

A high-end race car engine needs all its components tuned and working together precisely to deliver top-quality performance. The same can be said about the processor inside a quantum computer, whose delicate bits must be adjusted in just the right way before it can perform a calculation. Who’s the right mechanic for this quantum tuneup job? According to a team that includes scientists at the National Institute of Standards and Technology (NIST), it’s an artificial intelligence, that’s who.The team’s paper in the journal Physical Review Applied outlines a way to teach an AI to make an interconnected set of adjustments to tiny quantum dots, which are among the many promising devices for creating the quantum bits, or “qubits,” that would form the switches in a quantum computer’s processor.