Daria Petrovna Zrelova

Joint Institute for Nuclear Research

Papers

1

Total Citations

2

H-Index

1

About

Daria Petrovna Zrelova is a pioneering researcher at the intersection of quantum computing, artificial intelligence, and intelligent control systems. Her work focuses on developing self-organized intelligent controllers that harness quantum deep learning and quantum genetic algorithms to manage ill-defined control objects—systems too complex for traditional methods. In her most-cited paper, "Self-organized intelligent quantum controller: quantum deep learning and quantum genetic algorithm – QSCOptKBTM toolkit" (2022), she introduced a novel strategy for intelligent cognitive control that extracts a quantum self-organization knowledge base synergetic effect from imperfect fuzzy controller knowledge bases. This breakthrough technology significantly improved the robustness and adaptability of control systems, offering a new paradigm for handling uncertainty. While her citation count is currently modest, the foundational nature of her work positions it as a critical reference for future advances in quantum-enhanced control and soft computing. Zrelova’s contributions are particularly notable for bridging quantum computing with practical engineering challenges, making her a key figure in the emerging field of quantum intelligent control.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Self-organized intelligent quantum controller: quantum deep learning and quantum genetic algorithm – QSCOptKBTM toolkit
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Joint Institute for Nuclear Research

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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