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.
Universal quan- tum algorithmic cooling on a quantum computer.arXiv preprint arXiv:2109.15304, 2021
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Quasi-Monte Carlo integration in LCU-CPP produces lower errors than Monte Carlo or trapezoidal rules for quantum operator estimation in two numerical experiments.
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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.
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Quasi-Monte Carlo Method for Linear Combination Unitaries via Classical Post-Processing
Quasi-Monte Carlo integration in LCU-CPP produces lower errors than Monte Carlo or trapezoidal rules for quantum operator estimation in two numerical experiments.