update change log

Author: refraction-ray

CHANGELOG.md

@@ -6,12 +6,24 @@
 
 - Add new module `tc.timeevol` for different types of time evolution solvers.
 
+- Add `special_jv` for numpy and jax backends.
+
+- Add `jaxy_scan` for numpy and jax backends, contrasting to the tf style original backend scan method.
+
+- Add `krylov_evol` method for krylov evolution.
+
+- Add `chebyshev_evol` method for chebyshev polynomial evolution.
+
+- Add `ode_evol_local` and `ode_evol_global` methods for local and global ODE evolution.
+
 ### Fixed
 
 - Fixed `one_hot` in numpy backend.
 
 - Fixed `scan` in tensorflow backend and numpy backend.
 
+- Fix potential np.matrix return from `PaulistringSum2Dense`.
+
 ### Changed
 
 - The order of arguments of `tc.timeevol.ed_evol` are changed for consistent interface with other evolution methods.

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 AI-native docs for tensorcircuit-ng: [Devin Deepwiki](https://deepwiki.com/tensorcircuit/tensorcircuit-ng) and [Context7 MCP](https://context7.com/tensorcircuit/tensorcircuit-ng).
+For more information on software usage, sota algorithm implementation and engineer paradigm demonstration, please refer to 90+ [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 AI-native docs for tensorcircuit-ng: [Devin Deepwiki](https://deepwiki.com/tensorcircuit/tensorcircuit-ng) and [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.
 

README_cn.md

@@ -33,7 +33,7 @@ TensorCircuit-NG 是目前积极维护的唯一官方版本，是 TensorCircuit
 
 请从 [完整文档](https://tensorcircuit-ng.readthedocs.io/) 中的 [快速上手](/docs/source/quickstart.rst) 开始。
 
-有关软件用法，算法实现和工程范式演示的更多信息和介绍，请参阅 80+ [示例脚本](/examples) 和 30+ [案例教程](https://tensorcircuit-ng.readthedocs.io/en/latest/#tutorials)。 [测试](/tests) 用例和 API docstring 也提供了丰富的使用信息。
+有关软件用法，算法实现和工程范式演示的更多信息和介绍，请参阅 90+ [示例脚本](/examples) 和 30+ [案例教程](https://tensorcircuit-ng.readthedocs.io/en/latest/#tutorials)。 [测试](/tests) 用例和 API docstring 也提供了丰富的使用信息。
 
 TensorCircuit-NG 也支持 AI 原生编程资源：[Devin Deepwiki](https://deepwiki.com/tensorcircuit/tensorcircuit-ng) 和 [Context7 MCP](https://context7.com/tensorcircuit/tensorcircuit-ng).