PNNL’s Center for Cloud Computing is addressing challenges in data management and hybrid cloud solutions with industry and academic partnerships.

In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.

Researchers designed ultra-low radiation cables to reduce background noise for highly sensitive neutrino and dark matter detectors.

PNNL’s Richard Saldanha will lead a new project to benchmark and validate models of cosmic ray exposure

PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics.

PNNL is the newest member of the CONsortium on Nuclear sECurity Technologies (CONNECT).

HiSVSIM enables large-scale quantum simulations through graph partitioning.