Shixin Zhang

> If I just use algebraic operations like `+-*/` with `modules="numpy"`, there is no problem, but if I use numpy's ufunc, `pytorch`, `jax`, or `tensorflow` all seem to fail, unfortunately....

> It seems like using `modules="numpy"` with `pytorch` backend has a problem when used with grad, but `modules="math"` seems to be working. Cool, thanks for your careful investigation! The PR...

@all-contributors please add @king-p3nguin for test, doc

still fail black checker, pls run ``black`` locally before commiting the code

test fails，pls notice the input should be in the corresponding tensor format instead of numpy

@apoorvnandan , thanks for your detailed reply and benchmark results. My experiment data on 10 runs (steps required): * current code: mean=470, std=247 * suggested change: mean = 349, std=113...

closed, as the remaining issue is separately open in https://github.com/tencent-quantum-lab/tensorcircuit/issues/161

> Hi! Is there any update regarding the mid circuit measurements? My use case would be to convert a qiskit circuit to TensorCircuit, where the former contains mid circuit measurements...

@fchollet 1. this question can apply to every pytree compatible API, it is just more elegant and easy to use for an API directly accepts pytree structures, as most APIs...

感谢，会在下个发布时 setup 中限定相应库的版本