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Quantum-Classical Iterative Refinement for the Pressure-Poisson Equation on NISQ Hardware
Doyeol "David" Ahn, Byeongyong Park, Rho Shin Myong +1
We present a hybrid quantum-classical iterative refinement for the pressure-Poisson equation of the incompressible Navier-Stokes projection method on noisy quantum hardware. Rather…
Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints
Byeongyong Park, Sanha Kang, Doyeol Ahn +1
Quantum algorithms that sample basis states and diagonalize a Hamiltonian in their span depend on repairing noisy measurement outcomes, using a constraint native to the target prob…
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…