A general-purpose, open-source framework for quantum-classical hybrid computing. Designed for research, simulation, and deployment.
Drag and drop gates to build your circuit • Instant simulation
Built on MindSpore's auto-differentiation engine, enabling seamless training of parameterized quantum circuits (PQC) and quantum neural networks.
Supports single-qubit gate, double-qubit gate and general unitary gate operations. Optimized for CPU/GPU backends with vectorization support.
Integrated implementations of VQE, QAOA, Grover Search, and Quantum Phase Estimation. Ready to use for chemistry and combinatorial optimization.
Systematic tutorials to master quantum computing.
Introduction to the fundamental unit of quantum information and the Bloch sphere representation.
02Understanding Pauli gates, Hadamard, and rotational operators.
03Transmitting quantum information using entanglement and classical communication.
04Demonstrating quantum speedup over classical algorithms.
MindQuantum is designed to be expressive and concise. Construct circuits using operator overloading and execute them on high-performance simulators with just a few lines of code.