arXiv · 2609.15697
OpenQARP: a modular framework for quantum application research
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.
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Stefano Scali, Vicente P. Soloviev, Antonio Márquez Romero, Brian Coyle, Giuseppe Buonaiuto, Annie Paine, Jonathan H. Fetherolf, Marcos Diez García, Michal Krompiec, Josh Kirsopp. 2026-09-14. OpenQARP: a modular framework for quantum application research. https://arxiv.org/abs/2609.15697
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