-
Notifications
You must be signed in to change notification settings - Fork 9
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
MLE tomography is exceeding max func evals in scipy.optimize.leastsq #29
Comments
Hi Danny,
Thanks for reaching out. I think this is a wonderful idea. We currently do
not have anyone maintaining the code to implement this feature. I’m going
to see if I still have permissions to implement the request. Progress may
be slow but I’ll keep you posted.
Thanks,
Scott Turro
…On Tue, Jan 3, 2023 at 5:06 PM Danny Paulson ***@***.***> wrote:
Hi there,
I'm a new user of your package and wanted to ask a question about an issue
I've encountered. For some relatively simple tomography examples on 1 or 2
qubits, I am getting warnings from scipy.optimize.leastsq that the
maximum number of function evaluations has been exceeded, meaning the
optimization exited before it converged. The leastsq function has a
parameter maxfeval that can be used to set the number of allowed
evaluations to some higher number to let the optimization converge, but
this parameter is not exposed in the StateTomography method of the
Tomography class or anywhere else that I can see. Do you see a fix for
this?
Thanks for your help!
Danny
—
Reply to this email directly, view it on GitHub
<#29>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AKH5GXF2PWBNAJYKU5NH65LWQSWHVANCNFSM6AAAAAATQFSJCE>
.
You are receiving this because you are subscribed to this thread.Message
ID: ***@***.***>
|
@dannypaulson A new version has been published. version 1.05.0 will allow you to pass the parameters in through the config |
Thanks so much! |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi there,
I'm a new user of your package and wanted to ask a question about an issue I've encountered. For some relatively simple tomography examples on 1 or 2 qubits, I am getting warnings from
scipy.optimize.leastsq
that the maximum number of function evaluations has been exceeded, meaning the optimization exited before it converged. Theleastsq
function has a parametermaxfeval
that can be used to set the number of allowed evaluations to some higher number to let the optimization converge, but this parameter is not exposed in theStateTomography
method of theTomography
class or anywhere else that I can see. Do you see a fix for this?Thanks for your help!
Danny
The text was updated successfully, but these errors were encountered: