3 papers
quant-ph2025
Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
Heechan Yi, Kayoung Ban, Myeonghun Park +1
Monte Carlo methods play a central role in particle physics, where they are indispensable for simulating scattering processes, modeling detector responses, and performing multi-dim…
hep-ph2023
Quantum Metric Learning for New Physics Searches at the LHC
A. Hammad, Kyoungchul Kong, Myeonghun Park +1
In the NISQ (Noisy intermediate-scale quantum) area, Quantum computers can be utilized for deep learning by treating variational quantum circuits as neural network models. This can…
hep-ph2023
Exploring the Synergy of Kinematics and Dynamics for Collider Physics
Kayoung Ban, Kyoungchul Kong, Myeonghun Park +1
In collider experiments, an event is characterized by two distinct yet mutually complementary features: the `global features' and the `local features'. Kinematic information such a…