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tfq 0.3.1 has requirements tensorflow==2.1.0 based on the requirements txt

You can still use it. You can install it too, on Ubuntu Python 3.8 I can confirm I have gotten it to work. Abandoned? It seems that way.

I used pip On Tue, Feb 6, 2024 at 1:30 AM Avner Bensoussan ***@***.***> wrote: > Hello ! > > Thank you for your answer :) ! > > I...

3.8, 2.7, 0.6.2 On Sun, Feb 25, 2024 at 10:11 AM Mohana Krishna ***@***.***> wrote: > Hello, would you mind specifying the exact versions of Python, Tensorflow > and TFQ...

Support for windows was dropped after 0.3. I think the TF dependency of 0.3 was like tf 2.1.0 or something, but that's probably an error. Also see: https://github.com/tensorflow/quantum/issues/798

Yes, this is a common issue which almost always results from version mismatches. See: https://github.com/tensorflow/quantum/issues/800, https://github.com/tensorflow/quantum/issues/779, https://github.com/tensorflow/quantum/issues/798, https://github.com/tensorflow/quantum/issues/771, https://github.com/tensorflow/quantum/issues/757, https://github.com/tensorflow/quantum/issues/768, https://github.com/tensorflow/quantum/issues/714

If this repo were not abandoned, I'm sure that would be taken into consideration

Not sure why it is abandoned, you would have to ask Google. You can make a PR, but it won't get merged, because there are no active maintainers. You can...

Sure its possible, like fig 12 of https://arxiv.org/pdf/2003.02989.pdf. Feeding the outputs of a QVC into a NN is straightforward (just pass the layer outputs into sequential). To pass classical outputs...

Yes, if you want to use DNNs upstream of a PQC, you would probably want to use ControlledPQC or a custom layer (my go to approach, it gives you a...