1 citations · 1 across the 3 of their papers we have counts for
4 papers
MolHop: Scaffold-Hopping Molecular Design with Agentic Reinforcement Learning
Yanyi Su, Chenyan Wang, Yulei Gong +3
Molecular design is often formulated as an optimization problem over existing molecular spaces. However, molecular optimization and the discovery of structurally distinct replaceme…
Dual channel multi-product formulas
Seung Park, Sangjin Lee, Kyunghyun Baek
Product-formula (PF) based quantum simulation is a promising approach for simulating quantum systems on near-term quantum computers. Achieving a desired simulation precision typica…
Subspace Variational Quantum Simulation: Fidelity Lower Bounds as Measures of Training Success
Seung Park, Dongkeun Lee, Jeongho Bang +2
We propose an iterative variational quantum algorithm to simulate the time evolution of arbitrary initial states within a given subspace. The algorithm compresses the Trotter circu…
Global optimization in variational quantum algorithms via dynamic tunneling method
Seung Park, Kyunghyun Baek, Seungjin Lee +1
We present a global optimization routine for the variational quantum algorithms, which utilizes the dynamic tunneling flow. Originally designed to leverage information gathered by…