Quantum computing is rapidly emerging as a transformative tool for solving complex engineering problems that have traditionally relied on high-performance classical computing. This session will explore quantum algorithms in computational mechanics. Presentations will address both theoretical foundations and practical implementations, highlighting novel approaches in solving large-scale, high-dimensional problems more efficiently than classical methods alone. Topics will include quantum-accelerated solvers for stiffness matrix inversion, hybrid quantum–classical algorithms, and quantum-based approaches to uncertainty quantification. Case studies can range from structural mechanics, fluid–structure interaction, multiscale materials modeling, and other engineering systems. By bringing together experts in computational mechanics, quantum information science, and applied engineering, this session aims to define both near- and long-term roadmaps for quantum-enhanced simulations in engineering practice. This session encourages the participation from students, early-career researchers, and practitioners, aiming to foster a diverse and collaborative session to exchange ideas.