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Hybrid Quantum-Classical Machine Learning in TensorFlow

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I wonder how can I feed the Keras model with output=tfq.layers.Sample(). I got the following error. I also tried to convert ragged tensor to normal tensor, but I didn't work...

Hi there, Sorry for the noob question. Is is possible to define multi qubit noise channels and use tfq to do noisy training? My work flow is similar to that...

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I've been trying to install Tensorflow Quantum as outlined by Tensorflow documentation, here: [https://www.tensorflow.org/quantum/tutorials/hello_many_worlds] Unfortunately, pip states it's trying to find the required version and it's been 6 hours since...

The following error occurs, when I run the "Hello, many worlds" of tutorials locally. The rest code of "Hello, many worlds", however, works fine. tensorflow version 2.1.0 tensorflow-quantum version 0.3.1...

Hi, I have a set of training data, and for each of those examples I want to "learn embeddings on the fly", such is done in some NLP models for...

Hi, I am still fairly new to tfq and I have a question about training a quantum circuit. Currently, I have an expectation layer that measures the fidelity of an...

Hi all, I am getting the error message above when trying to do `import tensorflow_quantum as tfq` and I'm not really sure how to resolve it. The full error message...

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status/going-stale
area/installation

I created a parameterized circuit using Cirq for Amplitude Encoding as described in [Supervised Learning with Quantum Computers](https://link.springer.com/book/10.1007/978-3-319-96424-9). The parameter is an arithmetic expression involving multiple operations like division and...

This PR adds serialization and C++ implementation support for three qubit eigen gates. A lot of this code is copy pasted from the two qubit cases with tweaks to work...

kind/feature-request

Replicating the code for [Hybrid quantum-classical optimization](https://www.tensorflow.org/quantum/tutorials/hello_many_worlds#2_hybrid_quantum-classical_optimization) in the [Hello, many worlds](https://www.tensorflow.org/quantum/tutorials/hello_many_worlds) tutorial with TPU (in google cloud) results in the following error. ``` Unsupported data type for TPU: string,...

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area/accelerators/tpu