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OpenQARP introduces a modular, open-source Python framework built on a C++ core designed to accelerate quantum application research across near-term and fault-tolerant regimes. By unifying algorithm libraries with interchangeable layers for circuits, primitives, and engines, it achieves significant performance gains in operator algebra while maintaining rigorous correctness checks against independent oracles. This tool offers researchers a streamlined alternative to existing stacks like Qiskit or PennyLane, focusing on efficiency and ease of expression for complex quantum problems.
OpenQARP: a modular framework for quantum application research
arXiv:2609.15697v1 Announce Type: new 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.
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.
Quantum Physics (quant-ph); Mathematical Software (cs.MS)
arXiv:2609.15697 [quant-ph]
(or arXiv:2609.15697v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.15697 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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