This study proposes a learned digital backward propagation (LDBP) algorithm that performs a distributed compensation of polarization mode dispersion (PMD) in parallel. The proposed LDBP algorithm uses ...

We introduce an algorithm that is simultaneously memory-efficient and low-scaling for applying ab initio molecular Hamiltonians to matrix-product states (MPS) via the tensor-hypercontraction (THC) ...