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Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit counterparts

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arxiv 2405.20173 v2 pith:6BMEJGKC submitted 2024-05-30 quant-ph cs.ET

Eneko Osaba , Matic Petrič , Izaskun Oregi , Raphael Seidel , Alejandra Ruiz , Sebastian Bock , Michail-Alexandros Kourtis This is my paper · ORCID
classification quant-phcs.ET
keywords eclipseqaoaqrispquantumalgorithmcounterpartsefficiencyevaluation
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This paper focuses on the presentation and evaluation of the high-level quantum programming language Eclipse Qrisp. 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, Eclipse Qrisp demonstrated promising results, outperforming both versions of its counterparts in terms of results quality and circuit complexity.

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  1. Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms

    quant-ph 2025-01 conditional novelty 4.0 of 10

    Q4DR splits drone routing into QAOA clustering plus D-Wave annealing routing, matches OR-Tools on the simplest case, and leaves two cases unvalidated.

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