tensorflow/quantum

Remove use of finite different in Adjoint gradient

Open

#620 aberto em 19 de ago. de 2021

Ver no GitHub
 (0 comments) (0 reactions) (0 assignees)Python (653 forks)github user discovery
area/corehelp wantedkind/feature-requestskill-level/intermediate

Métricas do repositório

Stars
 (2.145 stars)
Métricas de merge de PR
 (Métricas PR pendentes)

Description

Currently the Adjoint gradient method in C++ uses finite difference of gates to calculate the "gradient gate" to apply to the state. In terms of numerical precision this isn't ideal. What would be better is to slowly swap out the "gradient gate" calculation using finite difference to instead use analytic/closed forms. @zaqqwerty

Guia do colaborador