update to v2.2.1

PaddlePaddle · Sep 5, 2022 · 9a5ad8a · 9a5ad8a
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diff --git a/README.md b/README.md
@@ -7,7 +7,7 @@ English | [简体中文](README_CN.md)
    - [Install PaddlePaddle](#install-paddlepaddle)
    - [Install Paddle Quantum](#install-paddle-quantum)
    - [Environment setup for Quantum Chemistry module](#environment_setup_for_quantum_chemistry_module)
-   - [Run programs](#run-programs)
+   - [Run Example](#run-example)
 - [Introduction and developments](#introduction-and-developments)
    - [Quick start](#quick-start)
    - [Tutorials](#tutorials)
@@ -18,7 +18,7 @@ English | [简体中文](README_CN.md)
 - [Copyright and License](#copyright-and-license)
 - [References](#references)
 
-[Paddle Quantum (量桨)](https://qml.baidu.com/) is a quantum machine learning (QML) toolkit developed based on Baidu PaddlePaddle. It provides a platform to construct and train quantum neural networks (QNNs) with easy-to-use QML development kits supporting combinatorial optimization, quantum chemistry and other cutting-edge quantum applications, making PaddlePaddle the first deep learning framework in China that supports quantum machine learning.
+[Paddle Quantum (量桨)](https://qml.baidu.com/) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away.
 
 <p align="center">
   <a href="https://qml.baidu.com/">
@@ -33,7 +33,7 @@ English | [简体中文](README_CN.md)
   </a>
   <!-- PyPI -->
   <a href="https://pypi.org/project/paddle-quantum/">
-    <img src="https://img.shields.io/badge/pypi-v2.2.0-orange.svg?style=flat-square&logo=pypi"/>
+    <img src="https://img.shields.io/badge/pypi-v2.2.1-orange.svg?style=flat-square&logo=pypi"/>
   </a>
   <!-- Python -->
   <a href="https://www.python.org/">
@@ -55,7 +55,7 @@ Paddle Quantum aims at establishing a bridge between artificial intelligence (AI
 ## Features
 
 - Easy-to-use
-  - Many online learning resources (Nearly 40 tutorials)
+  - Many online learning resources (Nearly 50 tutorials)
   - High efficiency in building QNN with various QNN templates
   - Automatic differentiation
 - Versatile
@@ -71,7 +71,7 @@ Paddle Quantum aims at establishing a bridge between artificial intelligence (AI
 
 ### Install PaddlePaddle
 
-This dependency will be automatically satisfied when users install Paddle Quantum. Please refer to [PaddlePaddle](https://www.paddlepaddle.org.cn/install/quick)'s official installation and configuration page. This project requires PaddlePaddle 2.2.0+.
+This dependency will be automatically satisfied when users install Paddle Quantum. Please refer to [PaddlePaddle](https://www.paddlepaddle.org.cn/install/quick)'s official installation and configuration page. This project requires PaddlePaddle 2.2.0 to 2.3.0.
 
 ### Install Paddle Quantum
 
@@ -151,6 +151,7 @@ We provide tutorials covering quantum simulation, machine learning, combinatoria
     8. [Hamiltonian Simulation with Product Formula](./tutorials/quantum_simulation/HamiltonianSimulation_EN.ipynb)
     9. [Simulate the Spin Dynamics on a Heisenberg Chain](./tutorials/quantum_simulation/SimulateHeisenberg_EN.ipynb)
     10. [Distributed Variational Quantum Eigensolver Based on Schmidt Decomposition](./tutorials/quantum_simulation/DistributedVQE_EN.ipynb)
+    11. [Quantum Signal Processing and Quantum Singular Value Transformation](./tutorials/quantum_simulation/QSP_and_QSVT_EN.ipynb)
 
 - [Machine Learning](./tutorials/machine_learning)
     1. [Encoding Classical Data into Quantum States](./tutorials/machine_learning/DataEncoding_EN.ipynb)
@@ -160,6 +161,8 @@ We provide tutorials covering quantum simulation, machine learning, combinatoria
     5. [Quantum Autoencoder](./tutorials/machine_learning/QAutoencoder_EN.ipynb)
     6. [Quantum GAN](./tutorials/machine_learning/QGAN_EN.ipynb)
     7. [Variational Quantum Singular Value Decomposition (VQSVD)](./tutorials/machine_learning/VQSVD_EN.ipynb)
+    8. [Data Encoding Analysis](./tutorials/machine_learning/EncodingAnalysis_EN.ipynb)
+    9. [Quantum Neural Network Approximating Functions](./tutorials/machine_learning/QApproximating_EN.ipynb)
 
 - [Combinatorial Optimization](./tutorials/combinatorial_optimization)
     1. [Quantum Approximation Optimization Algorithm (QAOA)](./tutorials/combinatorial_optimization/QAOA_EN.ipynb)

diff --git a/README_CN.md b/README_CN.md
@@ -19,7 +19,7 @@
 - [Copyright and License](#copyright-and-license)
 - [References](#references)
 
-[Paddle Quantum（量桨）](https://qml.baidu.com/)是基于百度飞桨开发的量子机器学习工具集，支持量子神经网络的搭建与训练，提供易用的量子机器学习开发套件与量子优化、量子化学等前沿量子应用工具集，使得百度飞桨也因此成为国内首个支持量子机器学习的深度学习框架。
+[Paddle Quantum（量桨）](https://qml.baidu.com/)是基于百度飞桨研发的全球首个云量一体的量子机器学习平台。量桨支持量子神经网络的搭建与训练等功能，使得百度飞桨也因此成为国内首个支持量子机器学习的深度学习框架。量桨具备轻松上手、功能丰富等特点，提供了完善的API文档和用例教程，使用户可以快速入门和上手。
 
 <p align="center">
   <a href="https://qml.baidu.com/">
@@ -34,7 +34,7 @@
   </a>
   <!-- PyPI -->
   <a href="https://pypi.org/project/paddle-quantum/">
-    <img src="https://img.shields.io/badge/pypi-v2.2.0-orange.svg?style=flat-square&logo=pypi"/>
+    <img src="https://img.shields.io/badge/pypi-v2.2.1-orange.svg?style=flat-square&logo=pypi"/>
   </a>
   <!-- Python -->
   <a href="https://www.python.org/">
@@ -55,7 +55,7 @@
 ## 特色
 
 - 轻松上手
-   - 丰富的在线学习资源（近 40 篇教程案例）
+   - 丰富的在线学习资源（近 50 篇教程案例）
    - 通过模板高效搭建量子神经网络
    - 自动微分框架
 - 功能丰富
@@ -71,7 +71,7 @@
 
 ### 安装 PaddlePaddle
 
-当用户安装 Paddle Quantum 时会自动下载安装这个关键依赖包。关于 PaddlePaddle 更全面的安装信息请参考 [PaddlePaddle](https://www.paddlepaddle.org.cn/install/quick) 安装配置页面。此项目需求 PaddlePaddle 2.2.0+。
+当用户安装 Paddle Quantum 时会自动下载安装这个关键依赖包。关于 PaddlePaddle 更全面的安装信息请参考 [PaddlePaddle](https://www.paddlepaddle.org.cn/install/quick) 安装配置页面。此项目需求 PaddlePaddle 2.2.0 到 2.3.0。
 
 ### 安装 Paddle Quantum
 
@@ -80,6 +80,7 @@
 ```bash
 pip install paddle-quantum
 ```
+
 用户也可以选择下载全部文件后进行本地安装，
 
 ```bash
@@ -88,7 +89,6 @@ cd quantum
 pip install -e .
 ```
 
-
 ### 量子化学模块的环境设置
 
 我们的量子化学模块是基于 `Psi4` 进行开发的，所以在运行量子化学模块之前需要先行安装该 Python 包。
@@ -160,6 +160,8 @@ Paddle Quantum（量桨）建立起了人工智能与量子计算的桥梁，为
     8. [利用 Product Formula 模拟时间演化](./tutorials/quantum_simulation/HamiltonianSimulation_CN.ipynb)
     9. [模拟一维海森堡链的自旋动力学](./tutorials/quantum_simulation/SimulateHeisenberg_CN.ipynb)
     10. [基于施密特分解的分布式变分量子本征求解器](./tutorials/quantum_simulation/DistributedVQE_CN.ipynb)
+    11. [量子信号处理与量子奇异值变换](./tutorials/quantum_simulation/QSP_and_QSVT_CN.ipynb)
+
 
 - [机器学习](./tutorials/machine_learning)
     1. [量子态编码经典数据](./tutorials/machine_learning/DataEncoding_CN.ipynb)
@@ -169,6 +171,8 @@ Paddle Quantum（量桨）建立起了人工智能与量子计算的桥梁，为
     5. [量子变分自编码器（Quantum Autoencoder）](./tutorials/machine_learning/QAutoencoder_CN.ipynb)
     6. [量子生成对抗网络（Quantum GAN）](./tutorials/machine_learning/QGAN_CN.ipynb)
     7. [变分量子奇异值分解（VQSVD）](./tutorials/machine_learning/VQSVD_CN.ipynb)
+    8. [数据编码分析](./tutorials/machine_learning/EncodingAnalysis_CN.ipynb)
+    9. [量子神经网络模拟函数](./tutorials/machine_learning/QApproximating_CN.ipynb)
 
 - [组合优化](./tutorials/combinatorial_optimization)
     1. [量子近似优化算法（QAOA）](./tutorials/combinatorial_optimization/QAOA_CN.ipynb)

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -22,7 +22,7 @@
 author = 'Baidu Inc'
 
 # The full version, including alpha/beta/rc tags
-release = '2.2.0'
+release = '2.2.1'
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/docs/source/introduction.rst b/docs/source/introduction.rst
@@ -3,7 +3,7 @@
 Paddle Quantum
 =======================
 
-`Paddle Quantum <https://github.com/PaddlePaddle/Quantum>`__\  is a quantum machine learning toolkit developed based on Baidu PaddlePaddle. It provides a platform to construct and train quantum neural networks (QNN) with easy-to-use QML development kits supporting combinatorial optimization, quantum chemistry and other cutting-edge quantum applications, making PaddlePaddle the first deep learning framework in China that supports quantum machine learning.
+`Paddle Quantum <https://github.com/PaddlePaddle/Quantum>`__\  is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away.
 
 .. figure:: https://release-data.cdn.bcebos.com/Paddle%20Quantum.png
    :target: https://github.com/PaddlePaddle/Quantum
@@ -19,7 +19,7 @@ Features
 
 - Easy-to-use
 
-  - Many online learning resources (Nearly 40 tutorials)
+  - Many online learning resources (Nearly 50 tutorials)
   - High efficiency in building QNN with various QNN templates
   - Automatic differentiation
 
@@ -45,7 +45,7 @@ Install
 Install PaddlePaddle
 ~~~~~~~~~~~~~~~~~~~~
 
-This dependency will be automatically satisfied when users install Paddle Quantum. Please refer to `PaddlePaddle <https://www.paddlepaddle.org.cn/install/quick>`__ Install and configuration page. This project requires PaddlePaddle 2.2.0+.
+This dependency will be automatically satisfied when users install Paddle Quantum. Please refer to `PaddlePaddle <https://www.paddlepaddle.org.cn/install/quick>`__ Install and configuration page. This project requires PaddlePaddle 2.2.0 to 2.3.0.
 
 .. _header-n19:
 

diff --git a/docs/source/locale/en/LC_MESSAGES/introduction.po b/docs/source/locale/en/LC_MESSAGES/introduction.po
@@ -113,7 +113,7 @@ msgid ""
 "This dependency will be automatically satisfied when users install Paddle"
 " Quantum. Please refer to `PaddlePaddle "
 "<https://www.paddlepaddle.org.cn/install/quick>`__ Install and "
-"configuration page. This project requires PaddlePaddle 2.2.0+."
+"configuration page. This project requires PaddlePaddle 2.2.0 to 2.3.0."
 msgstr ""
 
 #: ../../source/introduction.rst:53

diff --git a/docs/source/modules.rst b/docs/source/modules.rst
@@ -22,3 +22,4 @@
    paddle_quantum.shadow
    paddle_quantum.trotter
    paddle_quantum.visual
+   paddle_quantum.qsvt
diff --git a/docs/source/paddle_quantum.qsvt.qsp.rst b/docs/source/paddle_quantum.qsvt.qsp.rst
@@ -0,0 +1,7 @@
+paddle\_quantum.qsvt.qsp
+============================
+
+.. automodule:: paddle_quantum.qsvt.qsp
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/source/paddle_quantum.qsvt.qsp_utils.rst b/docs/source/paddle_quantum.qsvt.qsp_utils.rst
@@ -0,0 +1,7 @@
+paddle\_quantum.qsvt.qsp\_utils
+===============================
+
+.. automodule:: paddle_quantum.qsvt.qsp_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/source/paddle_quantum.qsvt.qsvt.rst b/docs/source/paddle_quantum.qsvt.qsvt.rst
@@ -0,0 +1,7 @@
+paddle\_quantum.qsvt.qsvt
+============================
+
+.. automodule:: paddle_quantum.qsvt.qsvt
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/source/paddle_quantum.qsvt.rst b/docs/source/paddle_quantum.qsvt.rst
@@ -0,0 +1,16 @@
+paddle\_quantum.qsvt
+============================
+
+.. automodule:: paddle_quantum.qsvt
+   :members:
+   :undoc-members:
+   :show-inheritance:
+
+.. rubric:: Submodules
+
+.. toctree::
+   :maxdepth: 4
+
+   paddle_quantum.qsvt.qsp_utils
+   paddle_quantum.qsvt.qsp
+   paddle_quantum.qsvt.qsvt
diff --git a/docs/source/tutorial.rst b/docs/source/tutorial.rst
@@ -21,14 +21,14 @@ Tutorials
 ---------
 
 We provide use cases covering quantum simulation, machine learning, combinatorial optimization, local operations and classical communication (LOCC), and other popular quantum machine learning research topics.
-Similar to the \ `quick start guide </quick-start/overview.html>`__\ , you can read each tutorial `online </tutorials/overview.html>`__ or download and run `Jupyter Notebooks <https://github.com/PaddlePaddle/Quantum/tree/master/tutorial>`__\  locally.
+Similar to the \ `quick start guide </quick-start/overview.html>`__\ , you can read each tutorial `online </tutorials/overview.html>`__ or download and run `Jupyter Notebooks <https://github.com/PaddlePaddle/Quantum/tree/master/tutorials>`__\  locally.
 For interested developers, we recommend them to download Jupyter Notebooks and play around with it. Here are the tutorial categories:
 
-- `Quantum Simulation <https://github.com/PaddlePaddle/Quantum/blob/master/tutorial/quantum_simulation>`__
-- `Machine Learning <https://github.com/PaddlePaddle/Quantum/blob/master/tutorial/machine_learning>`__
-- `Combinatorial Optimization <https://github.com/PaddlePaddle/Quantum/blob/master/tutorial/combinatorial_optimization>`__
-- `LOCCNet <https://github.com/PaddlePaddle/Quantum/blob/master/tutorial/locc>`__
-- `QNN Research <https://github.com/PaddlePaddle/Quantum/blob/master/tutorial/qnn_research>`__
+- `Quantum Simulation <https://github.com/PaddlePaddle/Quantum/blob/master/tutorials/quantum_simulation>`__
+- `Machine Learning <https://github.com/PaddlePaddle/Quantum/blob/master/tutorials/machine_learning>`__
+- `Combinatorial Optimization <https://github.com/PaddlePaddle/Quantum/blob/master/tutorials/combinatorial_optimization>`__
+- `LOCCNet <https://github.com/PaddlePaddle/Quantum/blob/master/tutorials/locc>`__
+- `QNN Research <https://github.com/PaddlePaddle/Quantum/blob/master/tutorials/qnn_research>`__
 
 With the latest LOCCNet module, Paddle Quantum can efficiently simulate distributed quantum information processing tasks. Interested readers can
 start with this `tutorial on LOCCNet </tutorials/loccnet/loccnet-framework.html>`__. In addition, Paddle Quantum supports quantum neural

diff --git a/docs_zh_CN/source/conf.py b/docs_zh_CN/source/conf.py
@@ -22,7 +22,7 @@
 author = 'Baidu Inc'
 
 # The full version, including alpha/beta/rc tags
-release = '2.2.0'
+release = '2.2.1'
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/docs_zh_CN/source/introduction.rst b/docs_zh_CN/source/introduction.rst
@@ -3,7 +3,7 @@
 Paddle Quantum（量桨）
 =======================
 
-`Paddle Quantum（量桨） <https://github.com/PaddlePaddle/Quantum>`__\ 是基于百度飞桨开发的量子机器学习工具集，支持量子神经网络的搭建与训练，提供易用的量子机器学习开发套件与量子优化、量子化学等前沿量子应用工具集，使得百度飞桨也因此成为国内首个支持量子机器学习的深度学习框架。
+`Paddle Quantum（量桨） <https://github.com/PaddlePaddle/Quantum>`__\ 是基于百度飞桨研发的全球首个云量一体的量子机器学习平台。量桨支持量子神经网络的搭建与训练等功能，使得百度飞桨也因此成为国内首个支持量子机器学习的深度学习框架。量桨具备轻松上手、功能丰富等特点，提供了完善的API文档和用例教程，使用户可以快速入门和上手。
 
 .. figure:: https://release-data.cdn.bcebos.com/Paddle%20Quantum.png
    :target: https://github.com/PaddlePaddle/Quantum
@@ -19,7 +19,7 @@ Paddle Quantum（量桨）
 
 - 轻松上手
 
-  - 丰富的在线学习资源（近 40 篇教程案例）
+  - 丰富的在线学习资源（近 50 篇教程案例）
   - 通过模板高效搭建量子神经网络
   - 自动微分框架
 
@@ -47,7 +47,7 @@ Paddle Quantum（量桨）
 
 当用户安装 Paddle Quantum 时会自动下载安装这个关键依赖包。关于 PaddlePaddle 更全面的安装信息请参考
 `PaddlePaddle <https://www.paddlepaddle.org.cn/install/quick>`__
-安装配置页面。此项目需求 PaddlePaddle 2.2.0+。
+安装配置页面。此项目需求 PaddlePaddle 2.2.0 到 2.3.0。
 
 .. _header-n19:
 

diff --git a/docs_zh_CN/source/modules.rst b/docs_zh_CN/source/modules.rst
@@ -22,3 +22,4 @@
    paddle_quantum.shadow
    paddle_quantum.trotter
    paddle_quantum.visual
+   paddle_quantum.qsvt