Bug in QRNN_LatentGates forward?

[ifsheldon]

I think the below line is buggy because we have a batch dimension n here, and the norm is calculated across samples, giving a scalar. I think the norm should be calculated for each sample separately, meaning we should have a norm of shape (n,).

Python-for-Tensor-Network-Tutorial/Library/ADQC.py

Line 329 in 4c89b07

norm = tc.einsum('na,na->digit', psi, psi.conj())