Peer-reviewed research, technical papers, and breakthrough studies from our quantum research initiatives
View Research ThemesSelected groundbreaking research from our institute's quantum computing and physics teams
Developed hybrid quantum-classical climate simulation frameworks that improve atmospheric prediction accuracy by 42% using entangled qubit architectures.
Demonstrated 78% improvement in neural network training efficiency using distributed entangled qubit pairs for parallel feature extraction.
Proposed lattice-based encryption protocols that remain secure against both classical and next-generation quantum computing threats.
Developed novel quantum error correction codes reducing decoherence rates by 67% in superconducting qubit arrays.
Peer-reviewed articles, conference papers, and technical reports published in the last 12 months
Hybrid quantum-classical models improve climate sensitivity predictions using entangled qubit state simulations.
Entangled qubit configurations achieve 78% training efficiency gains in complex image classification tasks.
Comprehensive toolkit for identifying classical and quantum system vulnerabilities in cryptographic systems.