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Hybrid Quantum-Classical Machine Learning in TensorFlow
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...
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....
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...
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 =...
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...