2 papers
cond-mat.str-el2026
Concentration-Free Quantum Kernel Learning in the Rydberg Blockade
Ayana Sarkar, Martin Schnee, Sangeeth Das Kallullathil +4
Quantum kernel methods (QKMs) offer an appealing framework for machine learning on near-term quantum computers. However, QKMs generically suffer from exponential concentration, req…
hep-ex2024
CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models
Sehmimul Hoque, Hao Jia, Abhishek Abhishek +6
The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be re…