MindQuantum Documents ====================== MindQuantum is a general-purpose quantum computing library designed to train and infer multiple quantum neural networks. Developed by MindSpore and HiQ, it leverages the quantum computing simulator developed by HiQ and high-performance automatic differentiation of MindSpore, ensuring MindQuantum can efficiently solve problems in quantum machine learning, chemistry simulation, and optimization. It provides a platform for researchers, teachers, and students to quickly design and verify quantum machine learning algorithms. .. raw:: html Typical Application Scenarios ------------------------------ 1. `Quantum Machine Learning `_ Add the quantum neural network to the training process to improve the convergence accuracy. 2. `Quantum Chemical Simulation `_ Use VQE to solve the ground state energy of molecular system. 3. `Quantum Combinatorial Optimization `_ Use QAOA to solve the Max-Cut problem. .. toctree:: :glob: :maxdepth: 1 :caption: Installation mindquantum_install .. toctree:: :glob: :maxdepth: 1 :caption: Guide parameterized_quantum_circuit initial_experience_of_quantum_neural_network get_gradient_of_PQC_with_mindquantum .. toctree:: :glob: :maxdepth: 1 :caption: Variational Quantum Algorithm classification_of_iris_by_qnn quantum_approximate_optimization_algorithm qnn_for_nlp vqe_for_quantum_chemistry .. toctree:: :glob: :maxdepth: 1 :caption: General Quantum Algorithm quantum_phase_estimation grover_search_algorithm shor_algorithm .. toctree:: :maxdepth: 1 :caption: API References mindquantum.core mindquantum.simulator mindquantum.framework mindquantum.algorithm mindquantum.io mindquantum.engine mindquantum.utils .. toctree:: :glob: :maxdepth: 1 :caption: RELEASE NOTES RELEASE