works on
gradient optimization 1implicit differentiation 1numerical stability 1projected entangled-pair states 1tensor networks 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

quant-ph2026

Implicit differentiation of tensor network algorithms

Lander Burgelman, Anna Francuz, Paul Brehmer +4

The paper applies implicit differentiation to the gradient computation in projected entangled-pair state (PEPS) optimization, reducing computational cost and eliminating numerical…