V. Korenkov

Dubna State University, Plekhanov Russian University of Economics

Papers

Total Citations

H-Index

About

V. Korenkov is a researcher working at the intersection of quantum computing, artificial intelligence, and intelligent robotics. Their work focuses primarily on quantum software engineering, with a particular emphasis on designing quantum algorithmic gates and developing practical simulation frameworks for quantum systems. Korenkov has made notable contributions to the field by advancing circuit implementation methods for quantum massive parallel computing, exploring fundamental quantum phenomena — including superposition, entanglement, and interference — as building blocks for next-generation computational architectures. A recurring theme across their research is making quantum computing principles accessible and applicable, with dedicated efforts to develop educational methodologies and toolkits suited for graduate students and researchers in computer science, control engineering, and intelligent robotics. Their 2022 work on the QSCOptKBTM toolkit demonstrates a forward-looking integration of quantum deep learning and genetic algorithms within cognitive control systems, targeting ill-defined control problems through quantum self-organization. Korenkov's published papers have collectively accumulated approximately 10 citations, reflecting an emerging body of work in a rapidly evolving domain. Their research positions them as an early contributor to the practical engineering of quantum intelligent systems, bridging theoretical quantum mechanics with real-world autonomous and robotic applications.