Tag: high-energy physics

Researchers have shown that a carefully optimized quantum convolutional neural network can outperform classical models with similar parameter counts when ...

Physicists have upgraded the EasyScan_HEP parameter-scan framework so that large-language-model agents can prepare, validate, run and summarize high-energy physics scans ...

A new review in Ionics outlines how radiation-tolerant composite batteries could enable decentralised, maintenance-free power for the proposed India-based Neutrino ...

Physicists at the Duke Quantum Center have observed string-breaking dynamics on a trapped-ion quantum simulator, watching particle-antiparticle pairs emerge as ...

A comprehensive new review finds that quantum graph neural networks deliver real parameter efficiency and task-specific utility, but definitive quantum ...

At Johannes Gutenberg University Mainz (JGU), physicists have introduced a new way to organize the notorious “Feynman integrals” that underpin ...

Our understanding of the universe's most energetic phenomena, from the heart of colliding heavy ions to the enigmatic birth of ...

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