3 papers
physics.ins-det2026
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jenni Ott, Shiva Abbaszadeh +118
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
hep-ph2025
Direct Detection of Mechanism-Agnostic Fast-Moving Dark Matter
Haider Alhazmi, Doojin Kim, Kyoungchul Kong +1
We present a comprehensive framework for interpreting electron recoil signals induced by fast-moving dark matter (DM), applicable across a wide range of theoretically motivated mod…
hep-ph2025
Quantum Sensing Radiative Decays of Neutrinos and Dark Matter Particles
Zhongtian Dong, Doojin Kim, Kyoungchul Kong +2
We explore a novel strategy for detecting the radiative decay of very weakly interacting particles by leveraging the extreme sensitivity of quantum devices, such as superconducting…