Shixin Zhang

@uname-yang ，匿名用户好像也可以拿到 token 和访问股票数据 API ```python import requests r = requests.get("https://xueqiu.com", headers={"user-agent":"Mozilla"}) print(r.cookies["xq_a_token"]) ``` 这样就可以了，该 token 能拿到股票日线数据，别的 API 我没测试。 而且其实我发现，不管什么 UA 和什么 ip，只要未登录（也就是运行上面的代码），拿到的这个 token 似乎是一样的。。。 都是“a664afb60c7036c7947578ac1a5860c4cfb6b3b5”。不知道这个是随比较大的时间范围会变还是根本就不变，反正这个 token 作为唯一 cookie 是能成功拿到雪球日线数据的。仅供参考。...

Thanks for your reply. > Do you have strong arguments in favor of the second approach? Yes, consider the scenario of three parties (user, mypackage developer and mitiq developer) instead...

This is indeed a known issue, since we have no classical register concepts (which I think is a too heavy abstraction) in tensorcircuit, it is indeed hard to visualize this,...

results from current solution, any suggestions or ideas?

Thanks for sharing your thoughts. For now, the translation from ``cond_measure`` (which is just a non-unitary gate for any tensorcircuit circuit instance) is translated as an identity gate in qiskit...

> Is this the task for Tencent Spark Project? It can be if the students are too smart and the problems set is not enough for them. But in general,...

currently we have an alternative that using `tc.Circuit.from_qsim()` to load google random circuit structure

A very good question. Apart from the slow downloading due to the large size, TensorFlow as a requirement has other issues, too. Say in m1 mac, the package name is...

For now, my preference is to try something like below in furture releases ``pip install tensorcircuit`` # only requires numpy ``pip install tensorcircuit[tensorflow]`` # also install tensorflow

> And I am also curious about whether it would be convenient for us to re-implement those utilities by uniform API of tc.backend. It is more than welcome if anyone...