Quantum-Inspired Tensor Networks for Approximating PDE Flow Maps

Nahid Binandeh Dehaghani, Ban Q. Tran, Rafal Wisniewski +2

We investigate quantum-inspired tensor networks (QTNs) for approximating flow maps of hydrodynamic partial differential equations (PDEs). Motivated by the effective low-rank struct…