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Hybrid Quantum-Classical Machine Learning in TensorFlow

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I am using `ControlledPQC` and `PQC` for a couple of times in quantum machine learning. My question is that since I don't have any encoding data to be integrated into...

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I want two different quantum circuits, H1 and H2, in same `Sequential` class, similar to two `tf.keras.layers.Dense` that have different weight values, bias values and number of neurons as well....

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I am using `tfq.layers.PQC` and `tfq.layers.ControlledPQC` extensively, but say I don't want to check the expectation value of the qubit state rather just want to check what's the output of...

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Hi, are you planning to release source tarballs here and on pypi, for versions 0.7.0, 0.7.1, 0.7.2 and future ones? Thanks in advance, Marco

I am using `TFQ` for executing of quantum neural networks, but as I need it to be faster, I am trying to run it on multiple GPUs. Has `tensorflow-quantum` team...

Hi, How can I use the model mentioned in [this](https://www.tensorflow.org/quantum/tutorials/mnist) tutorial for [this](https://github.com/facebookresearch/CrypTen/blob/main/tutorials/Tutorial_4_Classification_with_Encrypted_Neural_Networks.ipynb) use case?

Add new project in 6G for Quantum on AI by Emirhan BULUT

Hi, I recently published an article on Medium titled "[How to Classify Encrypted Data using a Quantum Neural Network Model?](https://pawarsaurav842.medium.com/what-is-quantum-machine-learning-and-how-to-create-a-quantum-neural-network-model-a59bd571021d)". In the article I have used MNIST images and quantum...

If I want to compute the jacobian inside of gradient tape (so I can use it downstream in optimization) classically I can do: ```python x = tf.random.normal([7, 1]) model =...

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Currently we hardcode the set of serializable gates in a global variable [here](https://github.com/tensorflow/quantum/blob/d9c14b24628cf34ebf6c52bce278ed02b4003ab0/tensorflow_quantum/core/serialize/serializer.py#L370). It will be useful to various teams to allow the user to set this serializer to correspond...

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