A pumping approach for computing dynamical structure factors on quantum computers directly targets specific frequencies by time-evolving with an oscillating perturbation, demonstrated on 20-qubit trapped-ion hardware.
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QFAMES is a quantum algorithm that identifies clusters of closely spaced dominant eigenvalues and their multiplicities in quantum Hamiltonians under physically motivated assumptions, enabling observable estimation within energy clusters.
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Dynamical structure factor with a pumping approach on a trapped-ion quantum computer
A pumping approach for computing dynamical structure factors on quantum computers directly targets specific frequencies by time-evolving with an oscillating perturbation, demonstrated on 20-qubit trapped-ion hardware.
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Quantum Filtering and Analysis of Multiplicities in Eigenvalue Spectra
QFAMES is a quantum algorithm that identifies clusters of closely spaced dominant eigenvalues and their multiplicities in quantum Hamiltonians under physically motivated assumptions, enabling observable estimation within energy clusters.