We develop quantum algorithms that outperform classical approaches for solving computational problems and simulating a wide range of quantum systems. Rather than restricting ourselves to qubit-based systems, we explore various models including bosonic systems and boson-qubit hybrid architectures. 

We conduct computational chemistry research by calculating molecular structures, properties, and reaction mechanisms using simulations based on quantum mechanics and classical physics. Our work provides insights into chemical phenomena that are difficult to access experimentally.

We develop quantum algorithms for biological problems such as protein-ligand docking and sequence alignment, modeling them as combinatorial optimization tasks. Our methods offer improved efficiency and scalability, advancing computational biology and drug discovery.