Research Areas

Foundational study of information encoded in quantum states, entanglement, and quantum communication protocols.

The mathematical and physical postulates underlying quantum mechanics -- state spaces, measurement, and unitary evolution -- that every quantum algorithm builds on.

Designing quantum-enhanced learning algorithms that exploit superposition and entanglement for pattern discovery.

Formulating combinatorial optimization problems as energy landscapes and solving them with variational, quantum-native, and adiabatic annealing methods.

Building architectures that combine classical compute with quantum processors to solve real-world problems.

Protocols for transmitting and distributing quantum information across distance, including quantum key distribution and the building blocks of a future quantum internet.

Cryptographic protocols and threat models for a post-quantum world, spanning quantum-resistant algorithms and the guarantees quantum hardware can provide.

Educational exploration of quantum simulation for molecular systems, starting from minimal-basis, two-qubit examples.

Advancing machine learning theory and systems, from optimization to reasoning, that complement quantum research.

Applying mathematical optimization and decision science to complex, large-scale operational systems.