Research
Our work spans quantum information science, quantum computing for chemistry, and quantum machine learning. Selected themes:
Quantum coherence and entanglement
The role of quantum coherence and entanglement in complex systems such as photosynthesis, the avian compass, solar cells, and chemical reactions.
Quantum algorithms for chemistry
Adiabatic and digital quantum algorithms for molecular electronic structure, phase estimation on qudit platforms, and near-term simulations on NISQ devices.
Quantum machine learning
Hybrid quantum–classical models for large-scale scientific datasets, including chemistry, materials, and ADME-Tox property prediction for drug discovery.
Quantum state tomography and validation
Maximal-entropy approaches to reconstruct and validate quantum states from incomplete measurement data on noisy devices.
Open quantum systems and quantum simulation
Algorithms for open quantum dynamics, resonating valence bond / spin-liquid states, and coherent control of photochemical reactions.
