Riemannian Formulation of Sample-Based Quantum Krylov Solvers for Elliptic Problems: Energy-Norm Guarantees and Duct-Flow Applications
quant-ph
Submitted: 2026-10-11
Updated: 2026-10-14
Sources
- Cluster-Adaptive Sample-Based Quantum Diagonalization for Strongly Correlated Systems
- Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints
- Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization
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