search

GregDMeyer / dynamite

Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
MIT License
33 stars 6 forks source link

Zero Elements in Sparse Matrix #1

Closed flmachado closed 6 years ago

flmachado commented 7 years ago

Sometimes we are able to add and subtract terms form the Hamiltonian, such that we have zero terms in the sparse matrix.

We should be able to clean these terms, or at least check when the value associated with a mask is 0 so we can disregard it. It is probably incompatible with our current scheme but being able to detect all zero terms and killing would be nice in the future!!

Below is a MVP of this issue: a = Sigmaz(0)-Sigmaz(0) a.L=1 print(a.get_mat().view())

output: type: seqaij row 0: (0, 0.) row 1: (1, 0.) None

Thanks!

GregDMeyer commented 6 years ago

fixed with b3eb06989f9130b74274dc0fcafe11acd9c47921