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Alfred University and Classiq Launch Joint Academic Quantum Computing Initiative

Quantum Computing Report
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⚡ Quantum Brief
Alfred University and quantum development firm Classiq have launched a joint initiative to embed Classiq’s high-level synthesis platform into engineering curricula and energy research. Led by Junpeng Zhan at the Inamori School of Engineering, the program enables students and researchers to design functional quantum algorithms without low-level compilation, focusing on power system unit commitment optimization and advanced materials modeling. The collaboration builds on Zhan’s NSF-funded work and a 2024 project with Rochester Institute of Technology and ISO-New England, while also expanding into solid-state physics under S. K. Sundaram. The initiative aims to scale quantum computing access across SUNY and CUNY networks.
Why it matters

This initiative bridges the gap between quantum theory and practical engineering, accelerating workforce readiness and enabling real-world energy grid and materials optimization without deep quantum expertise.

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Alfred University and Classiq Launch Joint Academic Quantum Computing Initiative

Alfred University and Classiq Launch Joint Academic Quantum Computing Initiative Alfred University, the New York State College of Ceramics, and quantum development firm Classiq have announced a joint quantum computing initiative designed to integrate functional hardware-portable software modeling into engineering curricula and energy systems research. The academic collaboration deploys Classiq’s high-level synthesis platform to bypass manual, gate-level quantum circuit construction, allowing students and researchers to engineer functional algorithms without deep low-level compilation skills. The curriculum expansion is intended to support workforce development and applied energy optimization models across the State University of New York (SUNY) network. [ Alfred University - Classiq Framework ] Software Engine ──► Classiq high-level functional synthesis platform using agentic compilation workflows. Research Focus ──► Power system unit commitment optimization and ceramic/glass materials discovery. Academic Integration──► Inamori School of Engineering curricula, expanding across CUNY and SUNY networks. The instructional integration is led by Junpeng Zhan, Assistant Professor of Renewable Energy Engineering at the Inamori School of Engineering, who has embedded the platform into active courses. Zhan’s core research focuses on power systems optimization, specifically the “unit commitment problem”—a multi-variable calculation where electric grid operators determine the most cost-effective generation schedules to meet fluctuating regional energy demands. The joint initiative builds upon Zhan’s previous National Science Foundation (NSF)-funded computational grants and a 2024 collaborative research program with the Rochester Institute of Technology and ISO-New England to explore quantum optimization paths for wholesale electrical grids. Concurrently, the initiative expands into solid-state physics and advanced materials modeling under S. K. Sundaram, Inamori Professor of Materials Science and Engineering. This branch of the program explores quantum algorithm implementations to model molecular configurations and evaluate structural tolerances in advanced ceramics, glass, and manufacturing components. Looking forward, Alfred University and Classiq are formulating educational extensions focused on AI-assisted quantum design alongside a multi-institution grant proposal. This upcoming submission aims to scale quantum computing access across community colleges, technical schools, and broader regional infrastructure within the SUNY and City University of New York (CUNY) systems. The official partnership announcement, industrial software parameters, and academic curriculum milestones can be reviewed through the GlobeNewswire Newsroom here. July 7, 2026 Mohamed Abdel-Kareem2026-07-07T12:30:05-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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drug-discovery
quantum-optimization
energy-climate
quantum-talent
government-funding
quantum-computing
classiq
partnership

Source Information

Source: Quantum Computing Report