OpenQARP: a modular framework for quantum application research

2026-09-14

AI Summary

本文介绍了一个名为OpenQARP的开源Python框架，用于量子应用研究，通过模块化方法提高了从电子结构到组合优化问题的解决效率。

Abstract

We introduce OpenQARP, the Open Quantum Application Research Package: an open-source Python framework for quantum application research, built on a compiled C++ core. In OpenQARP, an application is assembled from an algorithm library that orchestrates three interchangeable layers: blocks describe circuits, primitives describe what to extract from them, and engines describe how they run. The release spans near-term through fault-tolerant methods, targeting problems from electronic structure to combinatorial optimization, with device-aware compilation, circuit cutting, and resource estimation over a single set of numerical conventions that the code must follow. Every numerical feature is checked against an independent oracle, and every published timing carries a correctness check. Against OpenFermion, Qiskit/Aer, PennyLane/Lightning, Qulacs, qsim, and pytket, OpenQARP is one to two orders of magnitude faster on operator algebra and among the fastest on simulation. It matches mature compilers on two-qubit gate count, and expresses a complete algorithm in the lines a framework needs rather than the plumbing a primitive stack demands.

Problem

• Quantum Application
• Framework
• Open-Source
• Efficiency
• Modularity

Innovation

• modular framework
• quantum application research
• device-aware compilation
• circuit cutting
• resource estimation