Enable parameter broadcasting in embedding templates

[dwierichs]

Here we introduce broadcasting to the embedding templates

• AmplitudeEmbedding
• AngleEmbedding
• IQPEmbedding
• QAOAEmbedding

For BasisEmbedding, detection of broadcasting based on hyperparameters instead of parameters would be required, which is not implemented yet. CV embeddings are not supported either, as there is not broadcasting implementation for CV devices.

In addition, there is a duplicate test file being removed in this PR.

Related issues: #2804

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[codecov[bot]]

Codecov Report

Merging #2810 (c4a9728) into master (c874edc) will increase coverage by 0.00%. The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master    #2810   +/-   ##
=======================================
  Coverage   99.65%   99.65%           
=======================================
  Files         261      261           
  Lines       22063    22092   +29     
=======================================
+ Hits        21986    22015   +29     
  Misses         77       77           

Impacted Files	Coverage Δ
pennylane/ops/qubit/attributes.py	100.00% <ø> (ø)
pennylane/ops/qubit/state_preparation.py	100.00% <100.00%> (ø)
pennylane/templates/embeddings/amplitude.py	98.21% <100.00%> (+0.29%)	:arrow_up:
pennylane/templates/embeddings/angle.py	100.00% <100.00%> (ø)
pennylane/templates/embeddings/iqp.py	100.00% <100.00%> (ø)
pennylane/templates/embeddings/qaoaembedding.py	100.00% <100.00%> (ø)

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[dwierichs]

Hey @antalszava

does it not work only with parameter broadcasting or does it not work with batch_params either? Has it worked before with the transform?

As commented in the respective file, batch_params does not currently work with AmplitudeEmbedding and Tensorflow.

Yep, I think it may have been deleted already by another PR in the meantime.

Yes, this one: #2873