Filtered Quantum Phase Estimation
The paper introduces a cost-aware framework for filtered-state preparation to improve quantum phase estimation (FQPE). By using spectral filtering, it shows that FQPE can achieve massive runtime reductions in high-precision regimes. The framework explicitly balances the trade-off between increasing state overlap, success probability, and the computational cost of implementing the filter.