Science Snapshots from Berkeley Lab

An experiment to study gravity at the quantum scale, insights into an antibiotic-building enzyme, and the backstory of an incredible new protein prediction algorithm are featured in this month’s roundup of science highlights.

How a Magnet Could Help Boost Understanding of Superconductivity

Physicists have unraveled a mystery behind the strange behavior of electrons in a ferromagnet, a finding that could eventually help develop high temperature superconductivity. A Rutgers co-authored study of the unusual ferromagnetic material appears in the journal Nature.

Symmetries in Physical Systems Help Optimize Quantum Computing

At the AVS 66th International Symposium and Exhibition, Oct. 20-25, Daniel Gunlycke will present a study on using symmetry to reduce the effects of random quantum entanglement in quantum computing applications. When deliberate, quantum entanglement can make algorithms more powerful and efficient, but uncontrolled entanglement adds unnecessary additional complexity to quantum computing, making algorithms suboptimal and more prone to error. Gunlycke says by reducing the frequency of accidental entanglements, quantum computing can be improved.

Department of Energy Announces $21.4 Million for Quantum Information Science Research

The following news release was issued on Aug. 26, 2019 by the U.S. Department of Energy (DOE). It announces funding that DOE has awarded for research in quantum information science related to particle physics and fusion energy sciences. Scientists at DOE’s Brookhaven National Laboratory are principal investigators on two of the 21 funded projects.