1 citations · 1 across the 1 of their papers we have counts for
3 papers
quant-ph2025
Multivariate unbounded quantum regression via log-ratio probabilities mitigating barren plateaus
Jaemin Seo
Quantum neural networks (QNNs) have shown remarkable potential due to their capability of representing complex functions within exponentially large Hilbert spaces. However, their a…
quant-ph2025
Quantum mixture-density network for multimodal probabilistic prediction
Jaemin Seo
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown. Classical…
physics.plasm-ph2024★ 1 cited
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
Jinsu Kim, Jaemin Seo
This research explores the application of Deep Reinforcement Learning (DRL) to optimize the design of a nuclear fusion reactor. DRL can efficiently address the challenging issues a…