I am referring to the tutorial of CV-QNN in Pennylane(Strawberry Fields). Each layer of CV-QNN can perform the operation below.
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Unlike other quantum neural network tutorials, where the input X and y are given explicitly, this is not the case here. However, they have mentioned Encoding data outside of the position eigenbasis, for example using instead the Fock basis. How can I encode my data which is in the format of X and y, where each sample is a 6-dimensional vector and y is a real value in [0,1]? I have X as a pandas data frame of shape [150,6] and y is a pandas series of length 150. How to train the CV Neural Network using my data? If the strawberry field is not working, can i just use pennylane inbuild CVNeuralNetwork class to do so ?
