Osaba, EnekoEnekoOsabaPetric, MaticMaticPetricOregi, IzaskunIzaskunOregiSeidel, RaphaelRaphaelSeidelRuiz, AlejandraAlejandraRuizBock, SebastianSebastianBockKourtis, Michail-AlexandrosMichail-AlexandrosKourtis2025-05-062025-05-062025-03-29https://publica.fraunhofer.de/handle/publica/48730210.1007/978-3-031-85884-0_12This paper focuses on the presentation and evaluation of the high-level quantum programming language EclipseQrisp. The presented framework, used for developing and compiling quantum algorithms, is measured in terms of efficiency for its implementation of the Quantum Approximation Optimization Algorithm (QAOA) Module. We measure this efficiency and compare it against two alternative QAOA algorithm implementations using IBM’s Qiskit toolkit. The evaluation process has been carried out over a benchmark composed of 15 instances of the well-known Maximum Cut Problem. Through this preliminary experimentation, EclipseQrisp demonstrated promising results, outperforming both versions of its counterparts in terms of results quality and circuit complexity.enCombinatorial OptimizationEclipse QrispQAOAQuantum Computingconference paper