Quantum Research

Quantum Algorithm Development

Pioneering new algorithms that leverage quantum superposition and entanglement for exponential speedups in problems like molecular simulation and optimization. Current focus includes:

Quantum Machine Learning for drug discovery
Optimization algorithms for energy grid management
Quantum-resistant cryptography development
Quantum Fourier Transform variants for signal processing

Quantum Computing Platforms

Superconducting Qubits

Researching high-coherence qubit arrays with improved error correction mechanisms using transmon qubit architecture for scalable quantum processors.

Trapped Ion Systems

Developing laser-cooled calcium ion traps for long-distance qubit entanglement and quantum gate operations with high fidelity.

Photonic Qubits

Creating topological photonics-based quantum circuits using silicon nanophotonics for robust quantum information processing.

D-Wave Inspired Systems

Advancing quantum annealing approaches to solve complex combinatorial optimization problems with specialized quantum hardware.

Real-World Applications

Drug Discovery

Accelerating molecular simulations and protein folding analysis through quantum chemistry algorithms.

Cryptography

Designing quantum-safe cryptographic protocols to address the threat of quantum computers breaking classical schemes.

Financial Modeling

Optimizing portfolio allocation, risk analysis, and derivative pricing using probabilistic quantum algorithms.

Quantum Foundations

Quantum Error Correction

Investigating new topological codes like the Surface Code 2.0 that reduce physical qubit overhead by 40% while maintaining fault tolerance.

Quantum Entanglement Networks

Developing theoretical frameworks for entanglement distribution across quantum nodes for scalable quantum internet infrastructure.

Quantum Gravity Models

Expanding holographic principle applications to quantum gravity theories using tensor network-based models for spacetime reconstruction.