The potential of quantum computing to solve scientific and engineering problems has been recognized over the past decade. The power of quantum computers stems from the efficiency in computational time and space for difficult problems by taking advantage of quantum superposition and entanglement. Quantum algorithms have been developed to solve engineering problems such as linear systems, eigenvalue, simulation, optimization, and machine learning. As a continuation of the Quantum Scientific Computing minisymposium held at WCCM in 2024 and USNCCM in 2025, this minisymposium will provide a platform for researchers to exchange the latest ideas of quantum computing to solve engineering and materials problems. The topics of interest include but are not limited to: • Quantum algorithms and methods for computational solid mechanics and fluid dynamics • Quantum algorithms and methods for multiscale simulation (e.g., Schrödingerization-based simulation) • Quantum optimization algorithms • Quantum algorithms for materials discovery and materials design • Quantum machine learning and artificial intelligence • Uncertainty quantification in quantum computing • Error correction and mitigation in quantum computing • Simulators of quantum computers on classical computing platforms • Benchmark studies of quantum algorithms and methods