Advanced swarm intelligence algorithms in quantum circuit design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257047" target="_blank" >RIV/61989100:27240/25:10257047 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/25:10257047
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/17445760.2024.2388245" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17445760.2024.2388245</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17445760.2024.2388245" target="_blank" >10.1080/17445760.2024.2388245</a>
Alternative languages
Result language
angličtina
Original language name
Advanced swarm intelligence algorithms in quantum circuit design
Original language description
This study explores the potential of employing algorithms like iSOMA, Differential Evolution, Particle Swarm Optimization, Grey Wolf Optimization, and Ant Colony Optimization for the design of quantum computing circuits. Utilizing the Qiskit environment, the research involved simulating a straightforward quantum circuit with variable parameters. To substantiate the effectiveness of these algorithms, three distinct experimental setups were conducted under varying conditions and degrees of freedom. The findings reveal that these algorithms are not only suitable for simulations but also excel in identifying solutions that conserve qubits. A comparative analysis of the methods was performed using the Friedman test, followed by the Nemenyi post-hoc test to evaluate their relative performance.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Parallel, Emergent and Distributed Systems
ISSN
1744-5760
e-ISSN
1744-5779
Volume of the periodical
40
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
nestránkováno
UT code for WoS article
001332857500001
EID of the result in the Scopus database
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