Jae H. Yoo comments

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                                            Jae H. Yoo

Internal `setup.py` generation

let me work on it. so the SoT is pyproject.toml in Github, am I right?

Upgrade to TF 2.11.0

PLEASE DO NOT MERGE THIS PR UNTIL WE VERIFIED THE WHOLE TESTS INCLUDING CPU/GPU

qGANs

@zohimchandani Sorry, I confused with [QCNN](https://www.tensorflow.org/quantum/tutorials/qcnn). We don't have QGAN example yet.

@oliverob Thank you for your interest. Here is [TF-GAN](https://github.com/tensorflow/gan/tree/master/tensorflow_gan/examples) lightweight library for implementing GAN in TF and there are several materials about QGAN : [Lloyd et al.](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.040502), [Zoufal et al.](https://www.nature.com/articles/s41534-019-0223-2),...

qGANs

Thank you @oliverob for your contribution! Please let me look at it for the next week. 👍

qGANs

@zohimchandani https://github.com/tensorflow/quantum/pull/339

Add adjoint hessian called tfq.math.inner_product_hessian

FYI. This op shows 20x~100x faster than cirq hessian calculation used in the unit test file.

Update load_module.py

``` !pip install tensorflow==2.5.1 !pip install tfq-nightly==0.6.0.dev20210816 ``` is tested in the colab.

Higher order gradient of tfq layers

https://arxiv.org/pdf/1901.05374.pdf Please see the section 3.4 It is not implemented in TFQ yet.