Tom contributed to the Classiq/classiq-library by developing a foundation for quantum-enhanced protein folding exploration. He refactored the existing protein_folding directory, renaming it to protein_folding_with_qaoa to align with future plans for QAOA integration, and created a new Python notebook that applies a quantum walk approach to efficiently explore protein structures. His work leveraged Python and data science techniques, focusing on scalable methods for quantum computing applications in structural biology. Although the contribution spanned one feature over a month, Tom’s engineering established a clear technical pathway for integrating advanced quantum algorithms into the repository’s protein folding workflows.