Katrina Miller

Katrina Miller, a Fermilab scientist-user and physics graduate student at the University of Chicago, is a freelance science writer in the Chicago area.

New amplification algorithms expand the utility of quantum computers to handle non-Boolean scenarios, allowing for an extended range of values to characterize individual records, such as the scores assigned to each disk in the output superposition above. Illustration: Prasanth Shyamsundar

To fully realize the potential of quantum computing, scientists must start with the basics: developing step-by-step procedures, or algorithms, for quantum computers to perform simple tasks. A Fermilab scientist has done just that, announcing two new algorithms that build upon existing work in the field to further diversify the types of problems quantum computers can solve.

Roshanda Spillers is a lifelong student. With five academic degrees under her belt and more to come, she’s one of the vital lab staff who make sure that the experiments’ electronics are in working order and that the particle accelerators are well-maintained. A new grandmother who’s learning piano while going to school, she encourages those who love science to pursue their dreams relentlessly.

Over his nearly five decades at Fermilab, Ron Davis has done a little bit of everything as an operations supervisor working on the lab’s neutrino experiments. As someone who loves to work with his hands, he puts his talents to use for particle physics and, when he’s not at work, on his automobiles and motorcycles.