24 citations · 25 across the 10 of their papers we have counts for
9 papers · 1 filter
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 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…
Exploring Exotic Decays of the Higgs Boson to Multi-Photons at the LHC via Multimodal Learning Approaches
A. Hammad, P. Ko, Chih-Ting Lu +1
The Standard Model (SM) Higgs boson, the most recently discovered elementary particle, may still serve as a mediator between the SM sector and a new physics sector related to dark…
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…
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…
Simplified DM models with the full SM gauge symmetry : the case of -channel colored scalar mediators
P. Ko, Alexander Natale, Myeonghun Park +1
The general strategy for dark matter (DM) searches at colliders currently relies on simplified models. In this paper, we propose a new -channel UV-complete simplified model that…