Quantum computing has the potential to fundamentally transform chemistry and materials science by simulating molecular structures and interactions with unprecedented precision. While classical computers reach their limits when faced with the exponential complexity of quantum mechanical systems, quantum computers leverage superposition and entanglement to efficiently model electronic states, reaction mechanisms, and material properties. This opens up new possibilities for accelerating drug discovery, optimizing catalysts, and developing innovative materials with tailored properties for energy storage, superconductivity, and nanotechnology.

In our specialized research team, we focus on developing advanced quantum algorithms, including both hybrid quantum-classical methods such as the Variational Quantum Eigensolver (VQE) and purely quantum-mechanical approaches like Quantum Phase Estimation (QPE), Hamiltonian simulation with block encoding, and Quantum Signal Processing (QSP). Our goal is to accurately determine ground and excited states of molecules as well as their dynamic properties. We place a strong emphasis on industrial applications, aiming to gain deeper insights into chemical reaction dynamics and accelerate the discovery of novel materials with innovative functional properties.