Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study
Quantum optimization is a promising field revolutionizing problem-solving across domains. This study compares Particle Swarm Optimization (PSO), Moth Flame Optimization (MFO), and Genetic Algorithm (GA) on three platforms : a local computer, a local computer with quantum integration, and an IBM quan...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_02024.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849772534659022848 |
|---|---|
| author | Shaik Hussain Rajitha Morampudi Priyamvada K. Bhargavi R. Naveena |
| author_facet | Shaik Hussain Rajitha Morampudi Priyamvada K. Bhargavi R. Naveena |
| author_sort | Shaik Hussain |
| collection | DOAJ |
| description | Quantum optimization is a promising field revolutionizing problem-solving across domains. This study compares Particle Swarm Optimization (PSO), Moth Flame Optimization (MFO), and Genetic Algorithm (GA) on three platforms : a local computer, a local computer with quantum integration, and an IBM quantum machine. Results indicate PSO’s consistent performance across all setups, with the IBM quantum machine having a longer elapsed time. For MFO, the optimal solution is found using the IBM quantum machine, despite its longer execution time. Similarly, GA achieves the best results on the IBM quantum machine. These findings suggest that while quantum computers excel in solving complex problems, their execution time for simpler tasks remains higher than classical setups. Future research should address challenges like noise, limited qubits, and high material costs to improve quantum computers’ efficiency and availability. |
| format | Article |
| id | doaj-art-bca084078f2641ce84488385b4bb32b2 |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-bca084078f2641ce84488385b4bb32b22025-08-20T03:02:18ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016160202410.1051/e3sconf/202561602024e3sconf_icregcsd2025_02024Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative StudyShaik Hussain0Rajitha Morampudi1Priyamvada K.2Bhargavi R. Naveena3Research Scholar, EEE, JNTU Kakinada and Assoc. Prof, EEE, V.J.I.TAsst. Professor, EEE, CVR College of EngineeringAsst.Professor, EEE, GNITSAsso.Professor, EEE, CVR College of EngineeringQuantum optimization is a promising field revolutionizing problem-solving across domains. This study compares Particle Swarm Optimization (PSO), Moth Flame Optimization (MFO), and Genetic Algorithm (GA) on three platforms : a local computer, a local computer with quantum integration, and an IBM quantum machine. Results indicate PSO’s consistent performance across all setups, with the IBM quantum machine having a longer elapsed time. For MFO, the optimal solution is found using the IBM quantum machine, despite its longer execution time. Similarly, GA achieves the best results on the IBM quantum machine. These findings suggest that while quantum computers excel in solving complex problems, their execution time for simpler tasks remains higher than classical setups. Future research should address challenges like noise, limited qubits, and high material costs to improve quantum computers’ efficiency and availability.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_02024.pdf |
| spellingShingle | Shaik Hussain Rajitha Morampudi Priyamvada K. Bhargavi R. Naveena Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study E3S Web of Conferences |
| title | Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study |
| title_full | Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study |
| title_fullStr | Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study |
| title_full_unstemmed | Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study |
| title_short | Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study |
| title_sort | optimization techniques on quantum and classical systems a comprehensive comparative study |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_02024.pdf |
| work_keys_str_mv | AT shaikhussain optimizationtechniquesonquantumandclassicalsystemsacomprehensivecomparativestudy AT rajithamorampudi optimizationtechniquesonquantumandclassicalsystemsacomprehensivecomparativestudy AT priyamvadak optimizationtechniquesonquantumandclassicalsystemsacomprehensivecomparativestudy AT bhargavirnaveena optimizationtechniquesonquantumandclassicalsystemsacomprehensivecomparativestudy |