MindSpore Quantum Documents

MindSpore Quantum is a new-generation quantum computing suite based on MindSpore, supporting training and inference of multiple quantum neural networks.

MindSpore Quantum focuses on the implementation of NISQ algorithms. It combines the HiQ high-performance quantum computing simulator with the parallel automatic differentiation capability of MindSpore. MindSpore Quantum is easy-to-use with ultra-high performance. It can efficiently handle problems like quantum machine learning, quantum chemistry simulation, and quantum optimization. MindSpore Quantum provides an efficient platform for researchers, teachers and students to quickly design and verify quantum algorithms, making quantum computing at your fingertips.

Code repository address: <https://gitee.com/mindspore/mindquantum>

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.