My research focuses on advancing quantum computing's transformative potential in materials science, particularly through the exploration of its fundamental limitations and capabilities. I employ cutting-edge algorithms to tackle the complexities of simulating many-body systems, leveraging graph neural networks for novel material analysis approaches. My work also delves into theoretical frameworks that elucidate how molecules interact within proteins, contributing to a deeper understanding of their behavior under quantum transformations. Additionally, I maintain an overview through a comprehensive review paper that synthesizes these insights, highlighting the potential of quantum technologies in shaping future materials discovery and application.
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