Is there any way I can retrieve a pre-measurment state vector as ket using Pennylane? It seems Strawberry Fields does allow an operation without measurement. For example: state = eng.run(“tf”, cutoff_dim=cutoff, eval=False, batch_size=batch_size) ket = state.ket() But Pennylane wouldn’t allow me …

Hi @sophchoe ! You could try the qml.state() return type: dev = qml.device("default.qubit", wires=2) @qml.qnode(dev) def circuit(): qml.Hadamard(wires=1) return qml.state()

Oh, I forgot to ask beforehand — are you performing a CV/photonics simulation in PL? Unfortunately in that case, returning qml.state() is not yet supported with the Strawberry Fields devices. If you have the time, opening an issue on the PennyLane-SF GitHub repo with the requested feature would be …

Thank you, Josh. Yes, I am using a simulator and ran into problems with qml.state() although it is listed as one of the measurement options in PL documentation. I will go to the GitHub repo right now.

Catalina, Thank you for your reply. If you guide me as to where to start, I would love to work on it. I am working on classical and qnn hybrid network for credit card fraud detection (StrawberryFields + Keras) and have a crude code for classical and quantum hybrid auto-encoder model (Pennylane + K…

Hi @sophchoe . I’m glad you would like to work on this! The first step would be to write on the GitHub issue that you would like to work on this, just in case to prevent double work from someone else. The next step would be to go through the code where the issue happens and trying to understand how…

Hi @sophchoe , upon closer look it seems like this fix will not be straight forward because it will require: Changes in PennyLane Changes in the PennyLane-StrawberryFields plugin Design decisions, i.e., the path to solving this is not straightforward If you would like to work on a different issue …

Hi Catalina, I have a working code (Jupyter Notebook) on the auto-encoder I mentioned about, using Keras and Pennylane. Since we can’t directly access the ket vectors from Pennylane yet, I made some modifications to the algorithm defined in the “Continuous Variable quantum neural networks” paper. I…

Hi @sophchoe , this could be a good Demo. :smiley: You can read the guidelines on how to submit it here . The demo will then be posted here . Please let me know if you have any further questions on this!

State vector retrieval

PennyLane Help

CatalinaAlbornoz September 21, 2021, 8:27pm 5

Thank you for this feature request @sophchoe! It looks like something we should have. And thank you for opening the GitHub issue too.

If you would like to work on this feature let us know

Continuous Variable Quantum Classical Autoencoder

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State vector retrieval

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