Quantum Engineering (QE)
Quantum technologies are poised to transform computing, communications, sensing, and secure infrastructure—shaping the future of health, the economy, and national security.
Our Quantum Engineering (QE) thrust addresses these demands through that span quantum devices, algorithms and applications, and the surrounding classical systems. We investigate both the underlying physical quantum systems, such as sensors and networks, as well as the algorithms and software that leverage physical quantum systems. Our research investigates both how to use quantum to solve grand problems as well as how to use tools such as AI to help create more powerful quantum systems.
This thrust aligns with national priorities in advanced computing and microelectronics, accelerates innovation across the quantum stack, and develops a workforce capable of designing, deploying, sustaining, and scaling tomorrow’s trustworthy quantum computing, networking, and sensing infrastructure.
Faculty Members
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John Jeffrey (Jeff) Prevost, Ph.D. (Thrust Lead) Associate Professor Computer Engineering and Computer Science Cloud Technology Endowed Fellow Expertise: Quantum theory Email: jeff.prevost@utsa.edu |
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Assistant Professor Computer Engineering Expertise: AI and photonic computing Email: dharanidhar.dang@utsa.edu |
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Associate Professor Computer Engineering Expertise: AI in Cellular Networks, 6G AI Email: brian.kelley@utsa.edu |
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Panagiotis (Panos) Markopoulos, Ph.D. Associate Professor Computer Engineering and Computer Science Cloud Technology Endowed Fellow Expertise: ML theory, algorithms, and systems |
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Affiliate Faculty Members
TBD
Research Institutes, Centers, and Laboratories
- Open Cloud Institute
- Cyber Manufacturing Innovation Institute (CyManII)
- Machine Learning Optimization and Systems (MILOS) Laboratory
- National Security Collaboration Center
