59 citations · 62 across the 3 of their papers we have counts for
3 papers
Physics-informed neural network model for quantum impurity problems based on Lehmann representation
Fumiya Kakizawa, Satoshi Terasaki, Hiroshi Shinaoka
We propose a physics-informed neural network (PINN) model to efficiently predict the self-energy of Anderson impurity models (AIMs) based on the Lehmann representation. As an examp…
Monte Carlo study on low-temperature phase diagrams of the - classical kagome antiferromagnet
Fumiya Kakizawa, Takahiro Misawa, Hiroshi Shinaoka
Frustrated magnets with degenerate ground states exhibit exotic ground states and rich phase structures when perturbations and/or thermal fluctuations lift the degeneracy. In two-d…
sparse-ir: optimal compression and sparse sampling of many-body propagators
Markus Wallerberger, Samuel Badr, Shintaro Hoshino +13
We introduce sparse-ir, a collection of libraries to efficiently handle imaginary-time propagators, a central object in finite-temperature quantum many-body calculations. We levera…