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20162026
most citedsparse-ir: optimal compression and sparse sampling of many-body propagators

59 citations · 315 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cond-mat.str-el2022

Aberration of the Green's function estimator in hybridization expansion continuous-time quantum Monte Carlo

Andreas Hausoel, Markus Wallerberger, Josef Kaufmann +2

We describe an aberration of the resampling estimator for the Green's function customarily used in hybridization expansion continuous-time quantum Monte Carlo. It occurs due to Pau…

cond-mat.str-el2022★ 53 cited

Multiscale space-time ansatz for correlation functions of quantum systems based on quantics tensor trains

Hiroshi Shinaoka, Markus Wallerberger, Yuta Murakami +4

Correlation functions of quantum systems -- central objects in quantum field theories -- are defined in high-dimensional space-time domains. Their numerical treatment thus suffers…

cond-mat.str-el2022

Merging numerical renormalization group and intermediate representation to compactify two- and three-point correlators

Sebastian Huber, Markus Wallerberger, Paul Worm +1

The vanguard of many-body theory is nowadays dealing with the full frequency dynamics of n-point Green's functions for n higher than two. Numerically, these objects easily become a…

physics.comp-ph2022★ 59 cited

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…

cond-mat.str-el2022★ 5 cited

Trie-based ranking of quantum many-body states

Markus Wallerberger, Karsten Held

Ranking bit patterns -- finding the index of a given pattern in an ordered sequence -- is a major bottleneck scaling up numerical quantum many-body calculations, as fermionic and h…