activity
20222026
most citedTwo-particle calculations with quantics tensor trains: Solving the parquet equations

16 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.str-el2026

Instabilities in self-consistent diagrammatic approaches and how to cure them

Marcel Gievers, Herbert Eßl, Stefan Rohshap +2

While self-consistent diagrammatic approaches are widely used to compute the physical properties of correlated quantum materials, their applicability may get severely hindered prec…

cond-mat.str-el2026

Stabilizing the parquet problem

Herbert Eßl, Stefan Rohshap, Marcel Gievers +3

We systematically analyze the stability of the iterative solution of the parquet equations by studying the spectrum of the Jacobian associated with the commonly used damped fixed-p…

physics.comp-ph2026

Adaptive Patching for Tensor Train Computations

Gianluca Grosso, Marc K. Ritter, Stefan Rohshap +5

Quantics Tensor Train (QTT) operations such as matrix product operator contractions are prohibitively expensive for large bond dimensions. We propose an adaptive patching scheme th…

cond-mat.str-el2025★ 1 cited

Entanglement across scales: Quantics tensor trains as a natural framework for renormalization

Stefan Rohshap, Jheng-Wei Li, Alena Lorenz +4

Understanding entanglement remains one of the most intriguing problems in physics. While particle and site entanglement have been studied extensively, the investigation of length o…

cond-mat.str-el2025★ 1 cited

Diagnosing phase transitions through time-scale entanglement

Stefan Rohshap, Hirone Ishida, Frederic Bippus +5

Spatial entanglement of quantum states has become a central paradigm of many-body physics. Here, we unearth a fundamentally different form of entanglement, the entanglement between…

cond-mat.str-el2024★ 16 cited

Two-particle calculations with quantics tensor trains: Solving the parquet equations

Stefan Rohshap, Marc K. Ritter, Hiroshi Shinaoka +3

We present the first application of quantics tensor trains (QTTs) and tensor cross interpolation (TCI) to the solution of a full set of self-consistent equations for multivariate f…

hep-ph2022★ 5 cited

Learning the EFT likelihood with tree boosting

Suman Chatterjee, Stefan Rohshap, Robert Schöfbeck +1

We develop a tree boosting algorithm for collider measurements of multiple Wilson coefficients in effective field theories describing phenomena beyond the standard model of particl…