22 citations · 88 across the 25 of their papers we have counts for
4 papers · 1 filter
Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee
Umar Sohail Qureshi, Benjamin Nachman, Caterina Vernieri
Detector simulation and event reconstruction will be computationally expensive for future collider programs and are currently critical bottlenecks for accurate feasibility…
The logical set of Gaussian states under the stabilizer subsystem decomposition
Santiago Zamora, Kaustav Chatterjee, Ulrik Lund Andersen +4
Universal quantum computation requires non-Gaussianity in continuous-variable systems and non-stabilizerness in discrete-variable systems. Yet, mapping a Gaussian state into the Go…
EveNet: A Foundation Model for Particle Collision Data Analysis
Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu +8
While deep learning is transforming data analysis in high-energy physics, computational challenges limit its potential. We address these challenges in the context of collider physi…
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers
Ibrahim Elsharkawy, Vinicius Mikuni, Wahid Bhimji +1
We present OmniMol, a state-of-the-art all-to-all transformer-based small molecule machine-learned interatomic potential (MLIP). OmniMol is built by adapting Omnilearned, a foundat…