Rabqubit

`pip install rich[jupyter]` is not working for me. ```bash (base) ➜ .ssh pip install rich[jupyter] zsh: no matches found: rich[jupyter] ```

> > > results from current solution, any suggestions or ideas? I think this is a good solution at the moment. But just I want to make sure conditional gates...

> 2\. if there is no requirement of tensorflow, then no backend with automatic differentiation is enabled by default which may confuse the users especially for newcomers. Namely, one need...

> 1. some function utilities are now supported solely by tensorflow backend, such as `tc.quantum.heisenberg_hamiltonian`. And I am also curious about whether it would be convenient for us to re-implement...

Besides, I am reproducing QCNN for my research. So I am interested in contributing when I finish it.

Thanks for your reply. > I am not sure about you specific torch release. I am using torch 1.11.0. More details about my enviroment: ``` tensorboard 2.9.1 pypi_0 pypi tensorboard-data-server...

By the way, does it make sense that we should let testing continue even with some test failures?