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20242026
most citedMemory-Efficient Nonequilibrium Green's Function Framework Built On Quantics Tensor Trains

7 citations · 9 across the 4 of their papers we have counts for

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4 papers

cond-mat.str-el2026

Generalized Keldysh formalism for nonequilibrium correlation functions and its application to fluctuation dynamics

Ken Inayoshi, Hiroshi Shinaoka, Yuta Murakami

Recent advances in time-resolved spectroscopies provide increasing access to collective dynamics in correlated quantum materials. However, computing the corresponding nonequilibriu…

cond-mat.str-el2025★ 1 cited

Predictor-corrector method based on dynamic mode decomposition for tensor-train nonequilibrium Green's function calculations

Maksymilian Środa, Ken Inayoshi, Michael Schüler +2

The nonequilibrium Green's function (NEGF) formalism is a powerful tool to study the nonequilibrium dynamics of correlated lattice systems, but its applicability to realistic syste…

cond-mat.str-el2025★ 1 cited

A causality-based divide-and-conquer algorithm for nonequilibrium Green's function calculations with quantics tensor trains

Ken Inayoshi, Maksymilian Środa, Anna Kauch +2

We propose a causality-based divide-and-conquer algorithm for nonequilibrium Green's function calculations with quantics tensor trains. This algorithm enables stable and efficient…

cond-mat.str-el2024★ 7 cited

Memory-Efficient Nonequilibrium Green's Function Framework Built On Quantics Tensor Trains

Maksymilian Środa, Ken Inayoshi, Hiroshi Shinaoka +1

One of the challenges in diagrammatic simulations of nonequilibrium phenomena in lattice models is the large memory demand for storing momentum-dependent two-time correlation funct…