MindQuantum Documents

MindQuantum is a general quantum computing framework developed by MindSpore and HiQ, that can be used to build and train different quantum neural networks. Thanks to the powerful algorithm of quantum software group of Huawei and High-performance automatic differentiation ability of MindSpore, MindQuantum can efficiently handle problems such as quantum machine learning, quantum chemistry simulation, and quantum optimization, which provides an efficient platform for researchers, teachers and students to quickly design and verify quantum machine learning algorithms.

Typical MindQuantum 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.

Installation

• MindQuantum Installation

Guide

• Variational Quantum Circuit
• The Application of Quantum Neural Network in NLP
• VQE Application in Quantum Chemistry Computing
• Quantum Approximate Optimization Algorithm

API References

• mindquantum.core
• mindquantum.simulator
• mindquantum.framework
• mindquantum.algorithm
• mindquantum.io
• mindquantum.engine
• mindquantum.utils