Alfred University and Classiq Launch Quantum Computing Initiative

Alfred University and Classiq have announced a joint initiative to integrate high-level quantum software engineering into the university’s engineering education and energy systems research. By utilizing Classiq’s platform, the partnership aims to prepare students for the emerging quantum workforce while exploring practical applications in power grid optimization and materials science. This collaboration is significant for the quantum sector as it bridges the gap between theoretical quantum physics and applied engineering, making complex quantum programming accessible to non-specialists.

The collaboration centers on the deployment of Classiq’s quantum software engineering platform within Alfred University’s Inamori School of Engineering and the New York State College of Ceramics. This high-level platform enables students and researchers to develop quantum programs without the need for deep coding expertise or gate-level circuit design, focusing instead on algorithms and engineering problems. Dean Gabrielle Gaustad emphasized that the initiative reflects the university's commitment to combining hands-on learning with emerging technologies, providing faculty and students access to tools previously reserved for specialized quantum experts.

Junpeng Zhan, an assistant professor of renewable energy engineering, is leading the integration of the platform into several courses and research projects focused on power systems and optimization. A primary area of investigation is the unit commitment problem, which involves determining the most cost-effective way for utilities to operate power generation units to meet demand. Zhan’s previous work includes National Science Foundation-funded research and a 2024 grant project with ISO-New England and the Rochester Institute of Technology, highlighting the practical utility of quantum computing in managing complex energy grids.

The initiative also extends into materials science through a collaboration with Professor S. K. Sundaram to explore quantum approaches for developing and testing advanced ceramic and glass materials. By applying quantum computing to material development, the university seeks to accelerate innovation in sectors such as battery development and pharmaceuticals. This multi-disciplinary approach is designed to build a robust quantum workforce by training students to solve real-world engineering challenges using advanced computational methods, ultimately supporting the broader industry's need for skilled professionals capable of implementing quantum solutions.