Scale QAOA in Fourier #27
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Summary
Until now we could not change the QAOA depth at runtime when using Fourier coefficients. This PR makes a small change to allow us to implement FOURIER[∞; 0] from the Zhou et al. PRX 10, 021067 (2020).
Details and comments
The depth of the Fourier function can now be set to
None. If it is set toNonethen the QAOA depth (previously fixed) is the same as the number of Fourier coefficients per beta or gamma. Therefore, this allows the recursion trainer to grow the QAOA depth with the number of Fourier coefficients that it is optimizing. Furthermore, since we can control the target depth of the Fourier coefficients of the recursion trainer through thetrain_kwargsXintrain.py, we can now set the QAOA depth at runtime when using train.Version updated
Please increment the
qaoa_training_pipeline_versionvariable and extend the main README.md.