I am not that familiar with the specific algorithms in computational quantum state optimization, but I would imagine that the most efficient distributed method would depend on the symmetry of the Hamiltonian in which you are optimizing.
Is this for a college class? I want to take that class!
Is this for a college class? I want to take that class!
Quantum mechanics, from the back of the book that nobody gets to.
I did some reading and it looks like the multi-configurational self-consistent field method suffers from poor convergence, which could be mitigated in a distributed network by each node crunching through the CSF space in parallel, with each node starting from equally spaced (in k-space) reference configuration state functions. The node that reaches the lowest non-pathological energy state wins. No block reward though
