PHD

Are you excited about designing the next generation of quantum algorithms and turning them into tools for molecular science? Quantum computing holds the promise to transform the toolset we use to understand molecules and materials. Realizing that promise requires developing, analyzing and optimizing algorithms now, before large-scale quantum devices become available. In this PhD, you will develop quantum algorithms for the simulation of molecular systems on digital quantum computers. You will study their behaviour analytically and numerically and identify the classes of problems where they can make a genuine scientific difference. Research directions might include identifying new approaches to molecular simulation, adapting existing quantum simulation algorithms to the early fault -tolerant era , and developing machine ‑ learning and AI ‑ based strategies to integrate quantum and classical simulation algorithms. You will join a new interdisciplinary research environment connecting the HIMS computational chemistry group, the Computational Science Lab at the Institute for Informatics, and QuSoft. You will also be part of the national "Quantum Computing for Quantum Chemistry" collaboration (QC2). The project sits at the interface of quantum computing, chemistry, and computational modelling, and gives you room to help shape a broad, methods-driven research thesis. Growing at the UvA Join us! In this PhD, you will develop quantum algorithms for the simulation of molecular systems on digital quantum computers. You will study their behaviour analytically and numerically and identify the classes of problems where they can make a genuine scientific difference. Research directions might include identifying new approaches to molecular simulation, adapting existing quantum simulation algorithms to the early fault -tolerant era , and developing machine ‑ learning and AI ‑ based strategies to integrate quantum and classical simulation algo...