Quantum Developer Tools | Application SDKs
Quantum Developer Frameworks
Quantum developer tools are a powerful set of software libraries, frameworks, and platforms that encapsulate complex quantum physics principles into clean APIs and programming models. Using these tools, developers can design quantum algorithms, run simulations, and test ideas on real quantum computers without needing to delve into the underlying hardware.
QPanda3
QPanda3 provides a high-performance software-hardware co-designed quantum programming framework. This is the tutorial for the Python version (pyqpanda3).
- High-performance circuit simulation
- Simple and user-friendly programming interface
- Hardware-software co-optimization
- Built-in circuit analysis capabilities
VQNet
VQNet is a quantum machine learning computational framework, which can be used to construct, execute, and optimize quantum algorithms. This documentation covers the APIs and examples.
- High-performance circuit simulation
- Simple and user-friendly programming interface
- Hardware-software co-optimization
pyqpanda-algorithm
pyqpanda-algorithm is a quantum algorithm software package, containing basic quantum algorithms and functions commonly used in quantum computing.
- High development efficiency
- High reliability and stability
- High-performance algorithm optimization
- Rich examples and documentation
ChemiQ
ChemiQ relies on QPanda to calculate molecular energy and structure, chemical reactions, simulate potential energy curves using real or simulated quantum computers.
- Variable algorithm
- Optimization algorithm
- Virtual time evolution
- Machine learning
QCFD
This software implements quantum linear solvers based on the HHL and variational algorithms, achieving accelerated hybrid quantum-classical computations on simulators..
- Quantum linear solvers
- Multi-preconditioners
- Multi-fluid properties
- Multiple simulation backends
Application SDKs & Specialized Libraries
The Origin Quantum Computing Application SDK (Software Development Kit) delivers enterprise-ready developer tools, APIs, open-source libraries, code samples, and testing environments to accelerate building and deploying hybrid quantum-classical applications.
Quantum Machine Learning Visual Algorithm VQNetVision
Quantum computing-based machine learning visual algorithms, integrating quantum 2D convolutional layers and parameterized quantum circuits for advanced QML.
- Lowering the Barrier to Model Training
- Lightweight Code Architecture
- Enterprise Data Security Protocols
- Comprehensive API Documentation
Quantum-Inspired Option Pricing
Provides 10+ accelerated Monte Carlo pricing models for financial derivatives, delivering ~100× computational acceleration compared to classical systems.
- Rich Financial Option Pricing Methods
- Practical & Developer-Friendly APIs
- High-Efficiency Quantum Computing
- Secure Financial Computing Environment
Quantum Computing Chemistry SDK
Supports high-accuracy simulation and computation of fermionic systems on physical quantum processors and virtual cloud emulators.
- Efficient Fermionic System Solver
- High Stability & Extensive Documentation
- Optimized & Easy-to-Use Developer Tools
- Flexible Quantum Chemistry Functionality