Quantum Brain
← Back to papers

Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit counterparts

E. Osaba, Matic Petrivc, I. Oregi, Raphael Seidel, Alejandra Ruiz, M. Kourtis·May 30, 2024·DOI: 10.48550/arXiv.2405.20173
PhysicsComputer Science

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

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.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.