59 citations · 167 across the 9 of their papers we have counts for
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physics.comp-ph2025★ 2 cited
Permutation of Tensor-Train Cores for Computing Moments on Stochastic Differential Equations
Kayo Kinjo, Rihito Sakurai, Tatsuya Kishimoto +1
Tensor networks, particularly the tensor train (TT) format, have emerged as powerful tools for high-dimensional computations in physics and computer science. In solving coupled dif…
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…