5 papers
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…
Evidence for Multimodal Superfluidity of Neutrons
Yuan-Zhuo Ma, Georgios Palkanoglou, Joseph Carlson +7
We present theoretical and experimental evidence for a new phase of matter in neutron-rich systems that we call multimodal superfluidity. Using ab initio lattice calculations, we s…
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…
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…
Efficient State Preparation for the Schwinger Model with a Theta Term
Alexei Bazavov, Brandon Henke, Leon Hostetler +4
We present a comparison of different quantum state preparation algorithms and their overall efficiency for the Schwinger model with a theta term. While adiabatic state preparation…