Seeding a QLattice

by: Chris Cave
(Feyn version 3.0 or newer)

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The QLattice is a method of sampling Models from a probability distribution so by it's nature the QLattice is a stochastic method. Between instances of QLattices, it is not guaranteed that they will give the same results.

The results are likely to be similar but not identical.

Reproducibility

In many instances, you will want to be able to reproduce your results, for example if you want to share it with a colleague or in a publication.

In this case, you can set the random seed for the QLattice, and the results will be reproducible given the rest of the computational environment is also reproduced.

Example

Here's an example of how to seed the QLattice:

import feyn

ql = feyn.QLattice(random_seed=42)

This will ensure that you will receive exactly the same Models between identical training runs.