6 papers
High-Frequency Gravitational Wave Detection with Superconducting Qubits
Heechan Yi, Seong Chan Park, Kyoungchul Kong +1
High-frequency gravitational waves (HFGWs) provide a unique window into high-energy and early-universe physics, yet they evade traditional macroscopic interferometry. To bridge thi…
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…
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…
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning
Kayoung Ban, Myeonghun Park, Raymundo Ramos
We develop a machine learning algorithm to turn around stratification in Monte Carlo sampling. We use a different way to divide the domain space of the integrand, based on the heig…
Gravity-Mediated Dark Matter at a low reheating temperature
Hyun Min Lee, Myeonghun Park, Veronica Sanz
We present a new study on the Gravity-Mediated Dark Matter (GMDM) scenario, where interactions between dark matter (DM) and the Standard Model are mediated by spin-two particles. E…
Hybrid quantum-classical approach for combinatorial problems at hadron colliders
Jacob L. Scott, Zhongtian Dong, Taejoon Kim +6
In recent years, quantum computing has drawn significant interest within the field of high-energy physics. We explore the potential of quantum algorithms to resolve the combinatori…