add stabilizer circuit jupyter

Author: refraction-ray

README.md

@@ -35,7 +35,7 @@ TensorCircuit-NG is the actively maintained official version and a [fully compat
 
 Please begin with [Quick Start](/docs/source/quickstart.rst) in the [full documentation](https://tensorcircuit-ng.readthedocs.io/).
 
-For more information on software usage, sota algorithm implementation and engineer paradigm demonstration, please refer to 80+ [example scripts](/examples) and 30+ [tutorial notebooks](https://tensorcircuit-ng.readthedocs.io/en/latest/#tutorials). API docstrings and test cases in [tests](/tests) are also informative. One can also refer to tensorcircuit-ng [deepwiki](https://deepwiki.com/tensorcircuit/tensorcircuit-ng) by LLM.
+For more information on software usage, sota algorithm implementation and engineer paradigm demonstration, please refer to 80+ [example scripts](/examples) and 30+ [tutorial notebooks](https://tensorcircuit-ng.readthedocs.io/en/latest/#tutorials). API docstrings and test cases in [tests](/tests) are also informative. One can also refer to tensorcircuit-ng [deepwiki](https://deepwiki.com/tensorcircuit/tensorcircuit-ng) or [Context7 MCP](https://context7.com/tensorcircuit/tensorcircuit-ng).
 
 For beginners, please refer to [quantum computing lectures with TC-NG](https://github.com/sxzgroup/qc_lecture) to learn both quantum computing basics and representative usage of TensorCircuit-NG.
 

docs/source/tutorial.rst

@@ -18,6 +18,7 @@ Jupyter Tutorials
     tutorials/mera.ipynb
     tutorials/gradient_benchmark.ipynb
     tutorials/contractors.ipynb
+    tutorials/stabilizer_circuits.ipynb
     tutorials/operator_spreading.ipynb
     tutorials/optimization_and_expressibility.ipynb
     tutorials/vqex_mbl.ipynb