Name: QPanda3 Quantum Computing Framework
Author: Origin Quantum

Introduction

QPanda is an open-source quantum programming framework independently developed by Origin Quantum. It aims to provide users with an efficient and user-friendly programming environment.

Designed for both beginners and experts in quantum computing, QPanda3 bridges the gap between theoretical quantum algorithms and practical implementation, making quantum programming accessible to a broader audience.

Whether you're exploring quantum computing for research, education, or commercial applications, QPanda3 provides the tools and infrastructure needed to bring ideas to life.

Key aspects of QPanda3 include its hardware-software integration, optimized performance, and comprehensive toolchain that supports the entire quantum application development lifecycle.

from pyqpanda3.core import QCircuit, QProg, H, CNOT, measure, CPUQVM
# Create a circuit
circuit = QCircuit()();
# Construct GHZ state
circuit << H(0)
circuit << CNOT(0,1)
circuit << CNOT(1,2)
# Create a prog and compose the circuit
prog = QProg()
prog << circuit
# Add measure operation
prog << measure(0,0) << measure(1,1) << measure(2,2)

Features

Quantum Hardware Access

Provides direct access to Origin Quantum computers, enabling users to test and run programs on real quantum hardware.

High-Performance Simulation

Offers powerful simulation capabilities supporting large-scale quantum circuit simulation, helping users test and verify quantum algorithms in classical computing environments.

Quantum Mitigation

Provides specialized tools for error mitigation and noise analysis to reduce errors in quantum computing.

Rich Quantum Algorithm Library

Offers a series of commonly used algorithms and modules for direct invocation, accelerating the development process.

Visualization Tools

Provides visual editing and display functions for circuits, helping users intuitively understand the structure and operation of circuits.

Cross-Platform Support

Compatible with Windows, macOS, Linux, and other operating systems, meeting the needs of different users' environments.

Version Features

High-Performance Quantum Circuit Simulation

By introducing SIMD instruction sets, quantum circuit optimization synthesis, and measurement optimization strategies, QPanda3 significantly improves circuit simulation performance compared to QPanda2. It supports efficient simulation of larger-scale and more complex circuits.

Simple and User-Friendly Programming Interface

Compared to QPanda2's complex abstract models such as virtual machines, qubits, and quantum circuits, QPanda3 reconstructs the underlying architecture and provides a more intuitive programming paradigm, significantly reducing the complexity and learning cost for users to write quantum programs.

Hardware-Software Co-Optimization

Combining an efficient compilation framework, quantum bit mapping optimization strategies, and quantum gate redundancy elimination technology, QPanda3 significantly improves the execution efficiency of quantum algorithms on NISQ devices, effectively releasing hardware computing potential and adapting to multiple quantum processor architectures.

Built-in Quantum Circuit Analysis

QPanda3 has built-in quantum circuit analysis tools that support multi-dimensional index evaluation such as gate depth, interconnection complexity, and communication bottlenecks. It provides quantitative basis for quantum algorithm design and performance tuning, helping to develop more efficient quantum applications.

QPanda3 Quantum Computing SDK | Programming Framework