A Tensor-Network Chebyshev-Galerkin Method for Boundary-Value Problems in Computational Mechanics

Juan José Rodríguez-Aldavero, Ángel de la Rosa Velasco, Juan José García-Ripoll

Quantum-inspired numerical methods for partial differential equations represent discretized fields and operators as quantics tensor trains (QTT), so that their cost depends on how…