Physicists at the Large Hadron Collider (LHC) rely on detailed simulations of particle collisions
to build expectations of what experimental data may look like under different theoretical …

Modern machine learning techniques can be used to construct powerful models for difficult
collider physics problems. In many applications, however, these models are trained on …

Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC), where
it has provided numerous innovative new ways to search for new physics and to probe the …

Jet substructure has emerged to play a central role at the Large Hadron Collider, where it
has provided numerous innovative ways to search for new physics and to probe the standard …

Particles beyond the Standard Model (SM) can generically have lifetimes that are long
compared to SM particles at the weak scale. When produced at experiments such as the Large …

Simulating quantum field theories is a flagship application of quantum computing. However,
calculating experimentally relevant high energy scattering amplitudes entirely on a quantum …

We leverage recent breakthroughs in neural density estimation to propose a new unsupervised
ANOmaly detection with Density Estimation (ANODE) technique. By estimating the …

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

Building on the notion of a particle physics detector as a camera and the collimated streams
of high energy particles, or jets, it measures as an image, we investigate the potential of …

The precise modeling of subatomic particle interactions and propagation through matter is
paramount for the advancement of nuclear and particle physics searches and precision …