MindQuantum Documents ====================== MindQuantum is a new-generation quantum computing suite based on MindSpore, supporting training and inference of multiple quantum neural networks. MindQuantum focuses on the implementation of NISQ algorithms. It combines the HiQ high-performance quantum computing simulator with the parallel automatic differentiation capability of MindSpore. MindQuantum is easy-to-use with ultra-high performance. It can efficiently handle problems like quantum machine learning, quantum chemistry simulation, and quantum optimization. MindQuantum provides an efficient platform for researchers, teachers and students to quickly design and verify quantum algorithms, making quantum computing at your fingertips. .. 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