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Hi,
i am running the py quantum trainer example on the documentation (with AerBackend and TketModel), and the training time for each epoch is almost 1 minute. I would like to know how can i speed it up, what may be the most probable bottleneck.
I am using 100 samples for the training set and 30 for testing.
Thanks.
The text was updated successfully, but these errors were encountered:
Hi, the AerBackend can be used with TketModel to perform a noisy, architecture-aware simulation of an IBM machine. However for initial experiments we recommend using NumpyModel, as it performs noiseless simulations and is orders of magnitude faster.
Hi,
i am running the py quantum trainer example on the documentation (with AerBackend and TketModel), and the training time for each epoch is almost 1 minute. I would like to know how can i speed it up, what may be the most probable bottleneck.
I am using 100 samples for the training set and 30 for testing.
Thanks.
The text was updated successfully, but these errors were encountered: