Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Use Qutip's Monte Carlo solver when combining Hamiltonian randomization and collapse operators #713

Open
HGSilveri opened this issue Jul 23, 2024 · 0 comments

Comments

@HGSilveri
Copy link
Collaborator

Currently, a noisy simulation that requires Hamiltonian randomization (from eg "doppler" or "amplitude" noise) and collapse operators (from eg. "dephasing") is solving the master equation multiple times, each time sampling the final state to give to NoisyResults. This is inefficient because the master equation is wasting significant time to calculate the final density matrix state, which we ultimately ignore.
In this particular case, we could instead use the Monte Carlo solver.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant