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…
quant-ph2024
Reducing T-Count in quantum string matching algorithm using relative-phase Fredkin gate
Byeongyong Park, Hansol Noh, Doyeol Ahn
The string-matching problem, ubiquitous in computer science, can significantly benefit from quantum algorithms due to their potential for greater efficiency compared to classical a…