Call for Position Papers

QAISys: NSF Workshop on Quantum-AI Systems Research at the Frontier

OS, Fault Tolerance, and Edge Integration

April 3, 2026

Washington, DC

Quantum computing is moving beyond proof-of-concept demonstrations into an era defined by systems challenges. The central question is no longer whether individual components work, but how to co-design algorithms, software, and hardware into integrated, high-performance, fault-tolerant systems. Achieving scalable quantum advantage requires careful orchestration across the entire computing stack, from real-time OS primitives and adaptive compilers to distributed classical co-processors and edge-connected infrastructure.

At the same time, rapid advances in artificial intelligence offer powerful new tools for managing system complexity. Embedding AI-driven optimization into quantum compilers, control loops, error decoding pipelines, and calibration workflows may fundamentally reshape how quantum systems are built and operated. The resulting intersection defines the focus of this workshop.

QAISys (pronounced “Kay-see’s”) brings together researchers from quantum computing, computer systems, AI, and edge computing to surface open problems, challenge assumptions, and define the research agenda for integrated quantum-AI systems. The workshop features invited talks, lightning presentations, panel discussions, and collaborative breakout sessions organized around four research thrusts.

This workshop is supported by the US National Science Foundation Award #2435033.

Submissions are solicited across four interconnected research thrusts. Topics include, but are not limited to, the following:

• System-level co-design across algorithms, software, and hardware
• Resource estimation and realistic benchmarking
• AI methods for quantum control, calibration, or decoding
• Quantum-edge system co-design
• Error correction, magic state management, and system bottlenecks
• Hybrid quantum-classical systems
• Scaling challenges and practical deployment

We welcome submissions presenting a clear perspective, challenging an assumption, or proposing a new research direction. Both technical and visionary perspectives are encouraged. Original research, works-in-progress, and position statements drawing on previously published results are all in scope.

QAISys is aimed at researchers and practitioners working at the intersection of quantum computing, computer systems, and AI. We especially encourage submissions from:

• Faculty, postdocs, and researchers in quantum computing, computer systems, and AI-driven hardware design
• Industry practitioners building quantum hardware, control systems, compilers, or cloud quantum platforms
• Advanced graduate students with novel results or a clear perspective on an open problem
• Researchers from the edge computing or distributed systems communities exploring connections to quantum architectures

Submissions need not be complete research papers. A well-motivated position statement or a sharp articulation of an open problem is equally welcome.

Yongshan Ding (Co-Chair),

Yale Yiran Chen (Co-Chair),

Duke Zheng Zhang, Rutgers 

Yunong Shi, AWS/UMich 

Frank Müller, NC State 

Lin Zhong, Yale

Kenneth Brown, Duke

Rajashi Runton, Duke Athena AI Institute

Florian Carle, Yale Quantum Institute

For questions about submissions, please contact: florian.carle@yale.edu