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All Journal Jurnal Info Sains : Informatika dan Sains
BR Sitepu, Mispa Arnetty
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Computer Science & IT

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Hybrid Quantum-Classical Computing: Benchmarking Algorithm Performance on Near-Term Quantum Processors for Optimization Problems Nursahira, Alvira; Safitri, Reni; Alvin, Muhammad; BR Sitepu, Mispa Arnetty; Sembiring, David Jumpa Malem; BR Ginting, Devita Permata Sari
Jurnal Info Sains : Informatika dan Sains Vol. 15 No. 01 (2025): Informatika dan Sains , 2025
Publisher : SEAN Institute

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Abstract

This paper presents a qualitative analysis of hybrid quantum-classical computing approaches aimed at solving complex optimization problems using near-term quantum processors. Hybrid algorithms leverage the strengths of quantum and classical computing to tackle computationally intensive tasks often constrained by current quantum hardware limitations. Through an extensive literature review and synthesis of recent empirical studies, we benchmark various hybrid algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA) and Variational Quantum Eigensolver (VQE), focusing on their performance, scalability, and practical applicability on noisy intermediate-scale quantum (NISQ) devices. The study highlights the advantages, challenges, and future prospects of integrating hybrid quantum-classical computation in optimization domains, providing a comprehensive framework and qualitative insights into benchmarking methodologies and critical performance metrics.
Co-Authors Alvin, Muhammad Br Ginting, Devita Permata Sari Nursahira, Alvira Safitri, Reni Sembiring, David Jumpa Malem