QUASAR is a hybrid quantum-classical framework for detecting fraud in decentralized finance. It combines quantum graph neural networks, agent-based modeling, and game theory to identify threats like rug pulls, flash loan exploits, and wash trading—advancing security in adversarial, permissionless financial systems.
Coming Soon
I am currently working on research about hybrid quantum-classical frameworks for detecting fraud in decentralized finance, combining quantum graph neural networks, agent-based modeling, and game theory to identify threats like rug pulls, flash loan exploits, and wash trading to advance security in adversarial, permissionless financial systems.
This research aims to revolutionize DeFi security by leveraging quantum computing capabilities to process complex transaction patterns and relationships that classical systems cannot efficiently analyze.
Status: Research in progress