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Tag: amcr

Berkeley Lab Computing Resources Enable Deeper Understanding of Supernovae Explosions

A dead star explodes as a Type Ia supernova. (Image credit: NASA)

HYPPO: Leveraging Prediction Uncertainty to Optimize Deep Learning Models for Science

Cutting Through the Noise

The researchers demonstrated this new error mitigation approach by simulating the evolution of a chain of six spins (top). Simulating for the longest time requires a circuit that contains 210 CNOT gates. The comparison of the real data from the quantum computer and the mitigated data shows how close the group’s approach comes to the exact results.

AMCRD’s Sherry Li Part of Team Honored by SIAM for Best Paper

Sherry Li stands with arms crossed in front of a whiteboard filled with complex mathematical equations, diagrams, and notes. The whiteboard includes various symbols, graphs, and annotations related to statistical models, including a hidden Markov model. The individual is dressed in a dark, long-sleeved top, and the background is a classroom or office setting, suggesting an academic or research environment.

Postdocs Present Wide-Ranging Research at 2022 Symposium

SIMCoV Models Cell-by-Cell Spread of Respiratory Infections

A key question in SARS-CoV-2 infection is why viral loads and patient outcomes are so different across individuals. Because it’s difficult to see how the virus spreads in the lungs of infected people, researchers developed SIMCoV, a computational model that simulates hundreds of millions of cells, including lung cells and immune cells. (Credit: Steve Hofmeyr/Berkeley Lab)
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