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  4. Eclipse Qrisp QAOA: Description and Preliminary Comparison with Qiskit Counterparts
 
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March 29, 2025
Conference Paper
Title

Eclipse Qrisp QAOA: Description and Preliminary Comparison with Qiskit Counterparts

Abstract
This 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.
Author(s)
Osaba, Eneko
Petric, Matic
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Oregi, Izaskun
Seidel, Raphael
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Ruiz, Alejandra
Bock, Sebastian  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Kourtis, Michail-Alexandros
Mainwork
Grid, Cloud, and Cluster Computing; Quantum Technologies; and Modeling, Simulation and Visualization Methods  
Conference
International Conference on Grid, Cloud, & Cluster Computing 2024  
International Conference on Emergent Quantum Technologies 2024  
International Conference on Modeling, Simulation & Visualization Methods 2024  
World Congress in Computer Science Computer Engineering and Applied Computing 2024  
DOI
10.1007/978-3-031-85884-0_12
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Combinatorial Optimization

  • Eclipse Qrisp

  • QAOA

  • Quantum Computing

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