Purvine Elected to American Mathematical Society Council
Emilie Purvine, a chief data scientist at PNNL, was elected as a council member at large of the American Mathematical Society.
Comport Project Selected for XStack Funding
PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.
Sharing the Load Speeds Machine Learning
In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
AI for Energy Report Features PNNL Expertise
PNNL computing experts Robert Rallo and Court Corley contribute their knowledge to a recent DOE report on applications of AI to energy, materials, and the power grid.
Bigger, Better Simulations for Quantum Computing
HiSVSIM enables large-scale quantum simulations through graph partitioning.
Mitigating Systemic Noise with Quantum Ensembles
New research from PNNL results in faster and more accurate variational quantum algorithm training.
The Impact of Pruning
PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.
A Recipe for Quantum Scaling
ARQUIN computational pipeline provides a holistic framework for simulating a system with distributed quantum computing ingredients.
Simulating a Quantum Future
Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.