Autonomous Quantum System Design Using Reinforcement Learning and Evolutionary Strategies
- DOI
- 10.5281/zenodo.23977974
- Published
- 2026
- Container
- Not recorded
- Publisher
- International Journal of Quantum Computing and Artificial Intelligence (IJQCAI)
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.23977974,
title = {Autonomous Quantum System Design Using Reinforcement Learning and Evolutionary Strategies},
author = {Thirunavukarasu and Elanchezhian and Mohamed Ashraf and Dr. Rajinikannan},
year = {2026},
doi = {10.5281/zenodo.23977974},
url = {https://doi.org/10.5281/zenodo.23977974}
}RIS
TY - JOUR TI - Autonomous Quantum System Design Using Reinforcement Learning and Evolutionary Strategies AU - Thirunavukarasu AU - Elanchezhian AU - Mohamed Ashraf AU - Dr. Rajinikannan PY - 2026 DO - 10.5281/zenodo.23977974 UR - https://doi.org/10.5281/zenodo.23977974 ER -
APA
Thirunavukarasu, Elanchezhian, Ashraf, M., & Rajinikannan, D. (2026). Autonomous Quantum System Design Using Reinforcement Learning and Evolutionary Strategies. https://doi.org/10.5281/zenodo.23977974