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quant-ph2026
Hierarchical Fusion Method for Scalable Quantum Eigenstate Preparation
Matthew Patkowski, Onat Ayyildiz, Matjaž KebriÄ +2
Robust and efficient eigenstate preparation is a central challenge in quantum simulation. The Rodeo Algorithm (RA) offers exponential convergence to a target eigenstate but suffers…
quant-ph2026
Improved Rodeo Algorithm Performance for Spectral Functions and State Preparation
Matthew Patkowski, Onat Ayyildiz, Katherine Hunt +2
The Rodeo Algorithm is a quantum computing method for computing the energy spectrum of a Hamiltonian and preparing its energy eigenstates. We discuss how to improve the performance…
quant-ph2025
Quantum State Preparation with Resolution Refinement
Scott Bogner, Heiko Hergert, Morten Hjorth-Jensen +3
We introduce a method called resolution refinement that allows one to bootstrap eigenstate preparation on a quantum computer. We first prepare an eigenstate of a low-resolution Ham…