RSOM applies dictionary learning to discover a sparse dictionary that conditions the analytic continuation inverse problem, yielding competitive results on synthetic tests and finite-temperature electron gas QMC data.
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ROQAM formulates Green's function estimation via orthogonal polynomials to preserve Hessenberg structure under finite precision, enabling lower precision with depth and outperforming QSVD by orders of magnitude in resource estimates for a quantum impurity model.
XRTS benchmark on warm dense Al demonstrates that uniform-electron-gas models overestimate plasmon resonance energy by up to 8 eV while ab initio calculations including disorder agree with experiment.
The paper reviews the use of the imaginary-time correlation function to extract temperature, normalization, and Rayleigh weight from XRTS spectra without model dependence.
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A Momentum-Resolved X-ray Thomson Scattering Benchmark of Electronic-Response Models in Warm Dense Aluminium
XRTS benchmark on warm dense Al demonstrates that uniform-electron-gas models overestimate plasmon resonance energy by up to 8 eV while ab initio calculations including disorder agree with experiment.