Quantum Simulations of Open Quantum Systems

This project aims to advance quantum computing methods to accurately simulate open quantum systems. The goal is to develop cutting-edge quantum algorithms capable of handling non-equilibrium, non-Markovian dynamics—where systems have memory effects and are not in a steady state—to model complex energy transfer processes such as photosynthesis. Furthermore, the algorithms will transform quantum computational outputs into measurable data, enhancing simulation accuracy. The research will develop my skills in designing quantum algorithms and translating complex biochemical problems into mathematical models suitable for quantum computers. Ultimately, it will establish a framework that not only enhances our understanding of photosynthesis but also extends quantum computing's application in chemistry, potentially transforming how we approach energy conversion and other complex chemical processes. This work lays the groundwork for my future research in quantum computing for chemistry.