ACM QSys

Introduction

Computing systems form the backbone of quantum research, bridging the gap between theoretical advancements and practical implementations. The rapid evolution of quantum computing is revolutionizing how we tackle complex computational problems, offering exponential speedups for optimization, simulation, and cryptography. Despite these advances, realizing the full potential of quantum computing requires breakthroughs in system architecture, hardware-software co-design, real-time error correction, and scalable quantum-classical integration.

Beyond algorithmic improvements, quantum computing demands robust system-level solutions that address the constraints of noise, coherence time, and resource allocation. Unlike traditional computing paradigms, quantum systems require novel approaches in compiler design, workload scheduling, and hybrid execution models to optimize performance across various quantum hardware platforms. As the field expands, interdisciplinary efforts are crucial to refining quantum control, error mitigation strategies, and interfacing quantum processors with classical infrastructure.

This workshop aims to push the boundaries of computing system research for quantum technologies by exploring system architectures, software frameworks, compiler optimizations, quantum networking, and scalable implementations of mobile computing research in the context of quantum. Moving beyond isolated advancements, we seek to foster collaboration across computing system researchers, quantum physicists, and AI-driven optimization experts to advance the field toward practical, real-world deployment.

Quantum computing research is gaining momentum across major computing conferences (e.g., MICRO, ISCA, ASPLOS, and others), yet a focused forum on how relevant years of mobile computing research could contribute to this timely direction remains unclear. For the first time, a computing workshop on quantum will be organized at a SIGMobile conference. We believe this initiative will provide a platform for researchers and developers from academia and industry to connect, exchange ideas, and accelerate progress in quantum computing infrastructure. This workshop offers a timely opportunity to cultivate a growing research community dedicated to addressing the most pressing system challenges in quantum computing, fostering interdisciplinary collaborations, and defining the next frontiers of computing system research for quantum.

Keynote Speakers

Lin Zhong

Yale University

Gang Huang

Lawrence Berkeley National Laboratory

Organizers

General Chairs

VP Nguyen

University of Massachusetts Amherst

Nirupam Roy

University of Marryland College Park

Call For Papers

Quantum computing is reshaping computational paradigms by addressing problems in optimization, cryptography, and material science that remain intractable for classical systems. While algorithmic breakthroughs have demonstrated theoretical advantages, realizing practical quantum computation demands system-level innovations in hardware, software, and hybrid execution models.

The unique constraints of quantum systems — including noise, decoherence, and resource-intensive error correction — necessitate a rethinking of system architectures, scheduling frameworks, and quantum-classical integration.

Critical challenges include mitigating decoherence while maintaining computational fidelity, optimizing compilers and execution pipelines for quantum workflows, designing scalable interconnects and memory architectures, and developing robust fault-tolerant mechanisms. These issues require interdisciplinary efforts spanning physics, computer architecture, and algorithm design to enable practical, scalable quantum systems.

This workshop will explore advances in quantum computing infrastructure, addressing challenges in system design, resource management, and quantum networking. By convening experts from academia and industry, it aims to define research priorities, foster collaboration, and accelerate the development of system-level innovations that will drive quantum computing beyond theoretical promise into real-world impact.

QSys welcomes contributions in all aspects of quantum computing system research, including but not limited to:

• Quantum system architectures and scalable quantum computing models
• Hybrid quantum-classical execution frameworks
• Quantum compilers, scheduling, and resource allocation
• Error correction and fault tolerance strategies
• Quantum memory and interconnect design
• Cryogenic and superconducting system optimizations
• Quantum networking and distributed quantum computing
• Benchmarking and performance evaluation of quantum computing platforms
• Energy-efficient quantum computing infrastructure
• Security and privacy in quantum computing systems
• Real-world deployment experiences and challenges in quantum computing