tensor networks

A quantum-inspired tensor network method achieves exponential speedup on topological quasicrystals, opening a feedback loop between quantum materials and quantum computer design.

Los Alamos and University of New Mexico researchers built THOR, an open-source tensor network framework that computes configurational integrals for crystalline solids 400 times faster than molecular dynamics simulations.