tensor-network
p2-etf-tensor-network-resultskronos-2026-2-28-tensor-network-solver
The Tensor-Network Kinetic Solver - Classical, Deployable Today
Authors: Ford, P. I.
Summary
The kinetic distribution function is highly compressible in a low-rank tensor-network representation, and that yields a practical classical solver, not a storage trick. On a 1D1V BGK test, a matrix-product-state truncation reaches relative-L² error 2×10−⁴ at rank 8 using ~0.19× the dense storage, with the error falling exponentially in rank. Unlike the… See the full description on the dataset page: https://huggingface.co/datasets/KrononosFE/kronos-2026-2-28-tensor-network-solver.time-crystal-tensor-networkTensor-Network-Hackathon-2024TensorNetworks
