tensorflow/quantum
Voir sur GitHubRemove use of finite different in Adjoint gradient
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#620 ouverte le 19 août 2021
area/corehelp wantedkind/feature-requestskill-level/intermediate
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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