3 papers
quant-ph2026
Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints
Byeongyong Park, Sanha Kang, Doyeol Ahn +1
Sample-based quantum diagonalization (SQD) diagonalizes a Hamiltonian in a compact subspace built from quantum samples, and its performance often relies on recovery procedures that…
quant-ph2026
Cluster-Adaptive Sample-Based Quantum Diagonalization for Strongly Correlated Systems
Byeongyong Park, Sanha Kang, Jongseok Seo +3
Sample-based quantum diagonalization (SQD) is a hybrid quantum-classical algorithm for estimating ground-state energies in electronic-structure calculations. It uses a quantum proc…
cs.CV2024
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset
Yongjin Kim, Jinbum Park, Sanha Kang +1
The maritime shipping industry is undergoing rapid evolution driven by advancements in computer vision artificial intelligence (AI). Consequently, research on AI-based object recog…