An adaptive patching method exploits block-sparse QTT structures to reduce computational costs for tensor contractions and enables efficient evaluation of bubble diagrams and Bethe-Salpeter equations.
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NESSi 2.0 reduces nonequilibrium Green's function simulation cost from O(N_t^3) to O(N_t N_c^2) via memory cutoff and adds tools for nonequilibrium steady states relevant to transport and prethermal dynamics.
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Adaptive Patching for Tensor Train Computations
An adaptive patching method exploits block-sparse QTT structures to reduce computational costs for tensor contractions and enables efficient evaluation of bubble diagrams and Bethe-Salpeter equations.
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NESSi 2.0: The Non-Equilibrium Systems Simulation package version 2.0
NESSi 2.0 reduces nonequilibrium Green's function simulation cost from O(N_t^3) to O(N_t N_c^2) via memory cutoff and adds tools for nonequilibrium steady states relevant to transport and prethermal dynamics.