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QIS Project Shows Novel Method for Privacy-Preserving Quantum ML

April 20, 2023

Scientific results from the initial [email protected] projects are starting to emerge; in one recently published paper, a research group shared results of a quantum machine learning project that explores novel methods for preserving privacy within advanced quantum computing functions.
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Shining a light on electrons’ role in energy transfer among 2D materials

March 6, 2023

Using the Cori supercomputer, a group of scientists examined heat and energy movements between certain 2D materials, spurring discoveries that could pave the way for a new generation of transistors Read More »

Computational Modeling Streamlines Hunt for Battery Electrolytes

April 11, 2023

Using computing resources at NERSC at Berkeley Lab, researchers from the Joint Center for Energy Storage Research have identified new, more efficient ways to find improved electrolytes for batteries. By computationally modeling molecules and virtually observing their properties, researchers can identify the most promising ones and save experimental scientists from spending time and resources on those that won’t work. Read More »

Berkeley Lab Scientists Create Machine Learning Pipeline for Interpreting Large Tomography Datasets

January 25, 2023

A group of Berkeley Lab scientists has developed and tested several machine learning techniques organized in a learning pipeline to improve the interpretation of increasingly large cryo-ET datasets. Read More »

Perlmutter Results Show Progress in Quantum Information Science

January 23, 2023

The [email protected] initiative at NERSC aims to support research in the space of quantum information science (QIS) conducted on the Perlmutter supercomputer, including quantum simulation of materials and chemical systems, algorithms for compilation of quantum circuits, error mitigation for quantum computing, and development of hybrid quantum/classical algorithms. The first phase of the project will come to an end this month, but has begun to bear fruit in the form of early science results and collaborations across the field. Read More »