!2271 fix readme link and pr get_cpp_obj

Merge pull request !2271 from dsdsdshe/r0.9
mindspore-ai · Jan 25, 2024 · 47abb33 · 47abb33
2 parents 668e46e + 481923f
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diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@
 [![PyPI](https://img.shields.io/badge/pypi_package-0.9.0-limegreend.svg)](https://gitee.com/mindspore/mindquantum/tree/r0.9/)
 [![Downloads](https://static.pepy.tech/badge/mindquantum)](https://pepy.tech/project/mindquantum)
 [![API](https://img.shields.io/badge/API-MindQuantum-red.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/overview.html)
-[![Tutorial](https://img.shields.io/badge/Tutorial-MindQuantum-limegreend.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/parameterized_quantum_circuit.html)
+[![Tutorial](https://img.shields.io/badge/Tutorial-MindQuantum-limegreend.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/beginner/parameterized_quantum_circuit.html)
 [![Issues](https://img.shields.io/badge/Issues-MindQuantum-limegreend.svg)](https://gitee.com/mindspore/mindquantum/issues)
 [![Release](https://img.shields.io/badge/Release-MindQuantum-limegreend.svg)](https://gitee.com/mindspore/mindquantum/releases)
 [![LICENSE](https://img.shields.io/badge/license-Apache_2.0-green.svg)](https://gitee.com/mindspore/mindquantum/blob/master/LICENSE)
@@ -119,26 +119,26 @@ The trained parameters are,
 
 1. Basic usage
 
-    - [Variational Quantum Circuit](https://mindspore.cn/mindquantum/docs/en/master/parameterized_quantum_circuit.html)
-    - [Quantum simulator](https://www.mindspore.cn/mindquantum/docs/en/master/quantum_simulator.html)
-    - [Initial experience of quantum neural network](https://www.mindspore.cn/mindquantum/docs/en/master/initial_experience_of_quantum_neural_network.html)
-    - [Advanced gradient calculation of variational quantum circuits](https://www.mindspore.cn/mindquantum/docs/en/master/get_gradient_of_PQC_with_mindquantum.html)
-    - [Advanced operations of quantum circuit](https://www.mindspore.cn/mindquantum/docs/en/master/advanced_operations_of_quantum_circuit.html)
-    - [Quantum Measurement](https://www.mindspore.cn/mindquantum/docs/en/master/quantum_measurement.html)
-    - [Noisy Quantum Circuit](https://www.mindspore.cn/mindquantum/docs/en/master/noise.html)
-    - [Noise simulator](https://www.mindspore.cn/mindquantum/docs/en/master/noise_simulator.html)
-    - [Qubit Mapping](https://www.mindspore.cn/mindquantum/docs/en/master/qubit_mapping.html)
-    - [Bloch Sphere](https://www.mindspore.cn/mindquantum/docs/en/master/bloch_sphere.html)
+    - [Variational Quantum Circuit](https://mindspore.cn/mindquantum/docs/en/master/beginner/parameterized_quantum_circuit.html)
+    - [Quantum simulator](https://www.mindspore.cn/mindquantum/docs/en/master/beginner/quantum_simulator.html)
+    - [Initial experience of quantum neural network](https://www.mindspore.cn/mindquantum/docs/en/master/advanced/initial_experience_of_quantum_neural_network.html)
+    - [Advanced gradient calculation of variational quantum circuits](https://www.mindspore.cn/mindquantum/docs/en/master/advanced/get_gradient_of_PQC_with_mindquantum.html)
+    - [Advanced operations of quantum circuit](https://www.mindspore.cn/mindquantum/docs/en/master/beginner/advanced_operations_of_quantum_circuit.html)
+    - [Quantum Measurement](https://www.mindspore.cn/mindquantum/docs/en/master/beginner/quantum_measurement.html)
+    - [Noisy Quantum Circuit](https://www.mindspore.cn/mindquantum/docs/en/master/middle_level/noise.html)
+    - [Noise simulator](https://www.mindspore.cn/mindquantum/docs/en/master/middle_level/noise_simulator.html)
+    - [Qubit Mapping](https://www.mindspore.cn/mindquantum/docs/en/master/middle_level/qubit_mapping.html)
+    - [Bloch Sphere](https://www.mindspore.cn/mindquantum/docs/en/master/beginner/bloch_sphere.html)
 2. Variational quantum algorithm
-    - [Classification of iris by quantum neural network](https://www.mindspore.cn/mindquantum/docs/en/master/classification_of_iris_by_qnn.html)
-    - [Quantum Approximate Optimization Algorithm](https://mindspore.cn/mindquantum/docs/en/master/quantum_approximate_optimization_algorithm.html)
-    - [The Application of Quantum Neural Network in NLP](https://mindspore.cn/mindquantum/docs/en/master/qnn_for_nlp.html)
-    - [VQE Application in Quantum Chemistry Computing](https://mindspore.cn/mindquantum/docs/en/master/vqe_for_quantum_chemistry.html)
-    - [Equivalence Checking of Parameterized Quantum Circuits](https://www.mindspore.cn/mindquantum/docs/en/master/equivalence_checking_of_PQC.html)
+    - [Classification of iris by quantum neural network](https://www.mindspore.cn/mindquantum/docs/en/master/case_library/classification_of_iris_by_qnn.html)
+    - [Quantum Approximate Optimization Algorithm](https://mindspore.cn/mindquantum/docs/en/master/case_library/quantum_approximate_optimization_algorithm.html)
+    - [The Application of Quantum Neural Network in NLP](https://mindspore.cn/mindquantum/docs/en/master/case_library/qnn_for_nlp.html)
+    - [VQE Application in Quantum Chemistry Computing](https://mindspore.cn/mindquantum/docs/en/master/case_library/vqe_for_quantum_chemistry.html)
+    - [Equivalence Checking of Parameterized Quantum Circuits](https://www.mindspore.cn/mindquantum/docs/en/master/advanced/equivalence_checking_of_PQC.html)
 3. GENERAL QUANTUM ALGORITHM
-    - [Quantum Phase Estimation algorithm](https://www.mindspore.cn/mindquantum/docs/en/master/quantum_phase_estimation.html)
-    - [Grover search and long algorithms based on MindQuantum](https://www.mindspore.cn/mindquantum/docs/en/master/grover_search_algorithm.html)
-    - [Shor’s algorithm based on MindQuantum](https://www.mindspore.cn/mindquantum/docs/en/master/shor_algorithm.html)
+    - [Quantum Phase Estimation algorithm](https://www.mindspore.cn/mindquantum/docs/en/master/case_library/quantum_phase_estimation.html)
+    - [Grover search and long algorithms based on MindQuantum](https://www.mindspore.cn/mindquantum/docs/en/master/case_library/grover_search_algorithm.html)
+    - [Shor’s algorithm based on MindQuantum](https://www.mindspore.cn/mindquantum/docs/en/master/case_library/shor_algorithm.html)
 
 ## API
 

diff --git a/README_CN.md b/README_CN.md
@@ -4,7 +4,7 @@
 [![PyPI](https://img.shields.io/badge/pypi_package-0.9.0-limegreend.svg)](https://gitee.com/mindspore/mindquantum/tree/r0.9/)
 [![Downloads](https://static.pepy.tech/badge/mindquantum)](https://pepy.tech/project/mindquantum)
 [![API](https://img.shields.io/badge/API-MindQuantum-red.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/overview.html)
-[![Tutorial](https://img.shields.io/badge/Tutorial-MindQuantum-limegreend.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/parameterized_quantum_circuit.html)
+[![Tutorial](https://img.shields.io/badge/Tutorial-MindQuantum-limegreend.svg)](https://mindspore.cn/mindquantum/docs/zh-CN/master/beginner/parameterized_quantum_circuit.html)
 [![Issues](https://img.shields.io/badge/Issues-MindQuantum-limegreend.svg)](https://gitee.com/mindspore/mindquantum/issues)
 [![Release](https://img.shields.io/badge/Release-MindQuantum-limegreend.svg)](https://gitee.com/mindspore/mindquantum/releases)
 [![LICENSE](https://img.shields.io/badge/license-Apache_2.0-green.svg)](https://gitee.com/mindspore/mindquantum/blob/master/LICENSE)
@@ -120,31 +120,31 @@ print(dict(zip(ansatz.params_name, net.trainable_params()[0].asnumpy())))
 
 1. 基础使用指南
 
-    - [变分量子线路](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/parameterized_quantum_circuit.html)
-    - [量子模拟器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/quantum_simulator.html)
-    - [量子神经网络初体验](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/initial_experience_of_quantum_neural_network.html)
-    - [变分量子线路梯度计算进阶](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/get_gradient_of_PQC_with_mindquantum.html)
-    - [量子线路高阶操作](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/advanced_operations_of_quantum_circuit.html)
-    - [量子测量](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/quantum_measurement.html)
-    - [含噪声量子线路](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/noise.html)
-    - [噪声模拟器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/noise_simulator.html)
-    - [比特映射](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/qubit_mapping.html)
-    - [布洛赫球](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/bloch_sphere.html)
+    - [变分量子线路](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/beginner/parameterized_quantum_circuit.html)
+    - [量子模拟器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/beginner/quantum_simulator.html)
+    - [量子神经网络初体验](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/advanced/initial_experience_of_quantum_neural_network.html)
+    - [变分量子线路梯度计算进阶](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/advanced/get_gradient_of_PQC_with_mindquantum.html)
+    - [量子线路高阶操作](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/beginner/advanced_operations_of_quantum_circuit.html)
+    - [量子测量](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/beginner/quantum_measurement.html)
+    - [含噪声量子线路](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/middle_level/noise.html)
+    - [噪声模拟器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/middle_level/noise_simulator.html)
+    - [比特映射](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/middle_level/qubit_mapping.html)
+    - [布洛赫球](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/beginner/bloch_sphere.html)
 
 2. 变分量子算法
 
-    - [通过量子神经网络对鸢尾花进行分类](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/classification_of_iris_by_qnn.html)
-    - [量子近似优化算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/quantum_approximate_optimization_algorithm.html)
-    - [量子神经网络在自然语言处理中的应用](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/qnn_for_nlp.html)
-    - [在量子化学计算中应用量子变分求解器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/vqe_for_quantum_chemistry.html)
-    - [含参量子线路的等价性检查](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/equivalence_checking_of_PQC.html)
+    - [通过量子神经网络对鸢尾花进行分类](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/classification_of_iris_by_qnn.html)
+    - [量子近似优化算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/quantum_approximate_optimization_algorithm.html)
+    - [量子神经网络在自然语言处理中的应用](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/qnn_for_nlp.html)
+    - [在量子化学计算中应用量子变分求解器](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/vqe_for_quantum_chemistry.html)
+    - [含参量子线路的等价性检查](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/advanced/equivalence_checking_of_PQC.html)
 
 3. 通用量子算法
 
-    - [量子相位估计算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/quantum_phase_estimation.html)
-    - [基于MindQuantum的Grover搜索算法和龙算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/grover_search_algorithm.html)
-    - [基于MindQuantum的Shor算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/shor_algorithm.html)
-    - [HHL算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/hhl_algorithm.html)
+    - [量子相位估计算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/quantum_phase_estimation.html)
+    - [基于MindQuantum的Grover搜索算法和龙算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/grover_search_algorithm.html)
+    - [基于MindQuantum的Shor算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/shor_algorithm.html)
+    - [HHL算法](https://www.mindspore.cn/mindquantum/docs/zh-CN/master/case_library/hhl_algorithm.html)
 
 ## API
 
@@ -235,7 +235,7 @@ export OMP_NUM_THREADS=4
 
 对于大型服务器，请根据模型规模合理设置并行内核数以达到最优效果。
 
-更多注意事项请查看[FAQ页面](https://gitee.com/mindspore/mindquantum/blob/master/tutorials/0.frequently_asked_questions.ipynb)。
+更多注意事项请查看[FAQ页面](https://gitee.com/mindspore/mindquantum/blob/r0.8/tutorials/0.frequently_asked_questions.ipynb)。
 
 ## 构建二进制whl包
 

diff --git a/mindquantum/simulator/mqsim.py b/mindquantum/simulator/mqsim.py
@@ -120,7 +120,7 @@ def apply_gate(
             else:
                 pr = ParameterResolver()
             if isinstance(gate, Measure):
-                return self.sim.apply_gate(gate.get_cpp_obj(), pr.get_cpp_obj(), diff)
+                return self.sim.apply_gate(gate.get_cpp_obj(), pr, diff)
             self.sim.apply_gate(gate.get_cpp_obj(), pr, diff)
         return None