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