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Hybrid Quantum-Classical Machine Learning in TensorFlow
**Python: 3.8 TFQ: 0.4.0** Hi, I am trying to get some Hessians from the one of my parameterized quantum circuits. This trainstep works as intended: ```python def build_train_step(circuit: cirq.Circuit, symbols:...
In #669, the dependabot PR passes even though the `WORKSPACE` file did not get updated. What do we need to do to catch this?
Hi there, I get the following error when I try to install tensorflow-quantum in my conda environment: ERROR: Could not find a version that satisfies the requirement tensorflow-quantum (from versions:...
Some `tf.function` wrapped functions that only have a single tape result in: ``` LookupError: No gradient defined for operation 'TfqAdjointGradient' (op type: TfqAdjointGradient) ``` One possible cause is mentioned at...
While not a breaking issue, if a user looks at tfq.layers and then lists all available modules there are two paths to any given layer at the moment: ``` tfq.layers.AddCircuit(...
Noticed while resolving #679, that `format_check.sh` does not check that notebooks are in the correct format
Firstly, I installed tensorflow==2.4.1 with `pip install tensorflow==2.4.1`. It's ok. then I installed tensorflow-quantum with `pip install -q tensorflow-quantum`. There was an error following the figure:  So, I uninstalled...
I followed the instructions on the site here, but still get the following error message: ``` $ pip install -U tensorflow-quantum ERROR: Could not find a version that satisfies the...
Given a tensor of PauliSums, one may want to repeatedly measure these operators. This would be a generalization of the `Sample` layer, which is implicitly performing this calculation for a...
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Hybrid Quantum-Classical Machine Learning in TensorFlow