Workshop Details

Organizers:

In-Saeng Suh, Oak Ridge National Laboratory (ORNL), USA

Esam El-Araby, University of Kansas (KU), USA

Edoardo Giusto, University of Naples Federico II, Italy

Katherine Klymko, Lawrence Berkeley National Laboratory (LBNL), USA

Frank Mueller, North Carolina State University (NCSU), USA

Jorge Echavarria, Leibniz Supercomputing Centre (LRZ), Germany

Duration: Full-day workshop

Proposed Date: November 16-21, 2025

Short Description of the Proposed Workshop

This workshop focuses on the development of software frameworks and workload management strategies that are crucial for Quantum-HPC (Q-HPC) ecosystems. As quantum computing progresses, integrating quantum processors with HPC systems presents significant opportunities to tackle complex, large-scale problems. Experts from academia, industry, and national labs will discuss the challenges of managing hybrid resources, along with cutting-edge research on middleware, scheduling algorithms, decomposition strategies, and benchmarking methodologies for Q-HPC systems. The workshop will include keynote talks, paper presentations, panel discussions, and interactive demos to foster collaboration and advance the state of hybrid computing. By the end of the workshop, attendees will gain valuable insights into best practices, emerging technologies, and future directions in Q-HPC integration, contributing to the broader goal of making quantum computing a practical extension of HPC environments.

Workshop Scope

The integration of quantum computing (QC) with high-performance computing (HPC) is emerging as a critical paradigm for tackling complex scientific and engineering challenges [1]. Current QC technology is constrained by the number of qubits, noise, and limited circuit depths, making hybrid Quantum-HPC (Q-HPC) ecosystems a practical approach to leveraging the strengths of both computing paradigms [2]. However, realizing the full potential of Q-HPC systems requires advanced software frameworks that can efficiently manage heterogeneous resources [3], decompose large-scale problems [4,5], optimize execution workflows [6], validate programming models [7,8], and mitigate errors [9,10].

This workshop will bring together experts from academia, industry, and national laboratories to discuss and advance the development of software frameworks and workload management strategies for Q-HPC ecosystems. Topics of interest include, but are not limited to:

• Resource Orchestration in Q-HPC Systems: Efficient scheduling, job allocation, and workload balancing across quantum and classical processors.
• Q-HPC Software Frameworks: Middleware and runtime systems that enable seamless execution of hybrid quantum-classical workloads.
• Scalability and Decomposition Strategies: Techniques for partitioning and distributing large-scale optimization and simulation problems.
• Error Mitigation and Noise Reduction Strategies: Software-based approaches for improving computational accuracy on NISQ devices.
• Programming Models and Abstractions: Development of high-level frameworks for interfacing quantum algorithms with HPC infrastructure.
• Benchmarking and Performance Metrics: Evaluation strategies for measuring the efficiency of Q-HPC workflows.
• Workflow Management and Automation: Tools for optimizing computational workflows across heterogeneous quantum and HPC platforms.
• Q-HPC Workflows: Design patterns specifying compute, data and control flow characteristics of hybrid HPC and QC computational workloads

By fostering discussions on these topics, the workshop aims to bridge the gap between quantum software development and classical HPC infrastructure, ultimately accelerating the practical deployment of Q-HPC applications.

Workshop Goals

The workshop will aims to achieve the following topics:

• Ideation: Encourage innovative ideas for improving Q-HPC workload management and software development.
• Early Work Socialization: Provide a venue for researchers to present preliminary results, obtain feedback, and refine their approaches.
• Interdisciplinary Collaboration: Foster engagement between quantum computing researchers, HPC experts, software developers, and domain scientists.
• Professional Development: Offer learning opportunities for early-career researchers and students interested in Q-HPC software frameworks.
• Artifact Development: Promote the sharing of open-source tools, datasets, and benchmarking methodologies to standardize Q-HPC software research.

Expected Outcomes

• Identification of key research challenges and future directions for Q-HPC software and workload management.
• Establishment of new collaborations between researchers in quantum computing, HPC, and software engineering.
• Increased adoption of best practices and standardized frameworks for Q-HPC workflows.
• Compilation of presented works into workshop proceedings or a community-driven report.
• Increased awareness of current tools and frameworks for Q-HPC systems.
• Enhanced collaboration between academia and industry in hybrid computing research.
• Identification of key challenges and future research directions.
• Practical insights and skills for attendees through hands-on sessions.

Relevance and Impact to SC Attendees

The SC (Supercomputing) Conference is a premier venue for discussing advancements in HPC, and with the increasing integration of quantum computing into HPC environments, this workshop is highly relevant. SC attendees, including students, researchers, developers, and industry professionals, will benefit from:

• Exposure to cutting-edge software frameworks enabling Q-HPC integration.
• Insights into workload management strategies that enhance the efficiency of hybrid quantum-classical computing.
• Opportunities to engage with leaders in the field and explore potential collaborations.
• A better understanding of how to prepare HPC systems and software for quantum acceleration in the near future.

Workshop Format

The workshop will consist of:

• Keynote Talks (30–45 min each): Leading experts will discuss the state of Q-HPC software and future directions.
• Paper Presentations (15–20 min each): Selected contributions from researchers in academia and industry.
• Panel Discussion (60 min): Experts will debate the challenges and opportunities in Q-HPC software frameworks.
• Interactive Demo Session (90 min): Hands-on demonstrations of Q-HPC software tools and middleware.
• Networking Session (30 min): Dedicated time for informal discussions and collaboration-building.

This format ensures an interactive and engaging environment where attendees can exchange ideas, learn from experts, and explore cutting-edge solutions in Q-HPC software development.

Workshop Schedule

Inclusivity and Advertising Plan

Inclusivity Plan:

• The workshop will prioritize diversity and inclusion by ensuring a balanced representation of speakers from different backgrounds, including women and underrepresented groups in quantum computing and HPC.
• We will implement a hybrid (in-person and virtual) format to allow participation from those unable to attend in person.
• A code of conduct will be established to maintain a respectful and welcoming environment for all attendees.

Advertising Plan:

• Promotion through SC conference channels, including website, email lists, and social media.
• Outreach to major quantum and HPC research groups, industry partners, and national labs.
• Collaboration with professional organizations such as ACM, IEEE, and QED-C.
• Cross-promotion with related workshops and conferences (e.g., ICS, QCE, and ADAC) in quantum computing and HPC.

Proceedings Plan

Proceedings will be published in an open-access format, ensuring wide dissemination of research contributions. Authors will be encouraged to submit extended versions of their papers to relevant journals. Additionally, workshop materials (e.g., keynote slides, panel discussions) will be made available online for future reference.

• A summary report capturing key discussions, insights, and future directions.
• Online access to presentation slides, workshop materials, and recorded sessions.
• A repository of tools and frameworks showcased during the hands-on session.

Planned Timeline Including Paper Deadlines, Notification, etc.

Paper Submission Deadline: [Date]

Notification of Acceptance: [Date]

Workshop Date: [Date]

Proceedings Submission Deadline: [Date]

Call for Participation

We invite submissions of papers (up to 8 pages) presenting above related topics of interest in Workshop Scope but not excluded below:

• Innovative software frameworks or tools.
• Use cases of Q-HPC systems in solving real-world problems.
• Benchmarking studies or performance evaluations of Q-HPC applications.
• ...

Submissions will be peer-reviewed, and selected abstracts will be presented as short talks or posters.

Website for the workshop:

Reproducibility / Transparency Plan

We will emphasize transparency by encouraging the sharing of code, datasets, and detailed descriptions of frameworks presented during the workshop. All materials will be made available through a public repository such as github or zenodo, ensuring that research and software tools can be reproduced and utilized by the broader scientific community.

Tentative Program Committee Members

Yuri Alexeev (Nvidia), Alessandro Baroni (ORNL), Tom Beck (ORNL), Daniel C. Claudino (ORNL), Alessandro Cilardo (U. of Naples, Italy), Rafael da Silva (ORNL), Bert de Jong (LBNL), Peter Eder (IQM), Marco Ghibaudi (Riverlane), Peter Groszkowski (ORNL),Travis Humble (ORNL), Shantenu Jha (Princeton), Mikael Johanson (CSC, Finland), Venkatesh Kannan (ICHEC), Seongmin Kim (ORNL), Krzysztof Kurowski (PSNC, Poland), Ryan Landfield (ORNL), Jerome Lenssen (VTT, Finland), Ang Li (PNNL), Daniel Losber (Sandia), Andre Luckow (BMW, Germany), Sara Marzella (CINECA, Italy), Santiago Nunez-Corrales (NCSA), Vicente L. Ortega (ORNL), Vincent R. Pascuzzi (IBM), Eduardo A. Coello Perez (ORNL), Kamal Saha (UMD), Nishant Saurabh (Utrecht U, Nederland), Martin Schulz (TUM, Germany), Amir Shehata (ORNL), Erica Stump (IonQ), Ariana Torres (SURF, Nederland), Miwako Tsuji (RIKEN, Japan), Shinjae Yoo (BNL)

References

[1] Y. Alexeev, et al., Quantum-centric supercomputing for materials science: A perspective on challenges and future directions, Future Generation Computer Systems, 160, 666-710 (2024).

[2] T. Beck, et al., Integrating quantum computing resources into scientific HPC ecosystems, Future Generation Computer Systems, 161, 11-25 (2024).

[3] A. Shehata, T. Naughton, and I.-S. Suh, A Framework for Integrating Quantum Simulation and High Performance Computing, 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), vol. 2, 300-305 (2024).

[4] R. Shaydulin, et al., Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem, Sci. Adv.10, eadm6761(2024).

[5] S. Kim, et. al., Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization, arXiv:2407.20212 (2024).

[6] K.-C. Chen, et al., Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations, arXiv:2403.05828 (2024).

[7] A. Elsharkawy, et al., Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools, arXiv:2309.06167 (2023).

[8] T. S. Humble, et al., Quantum Computers for High-Performance Computing, IEEE Micro. Vol. 41, 15-23 (2021).

[9] N. Sauabh, et al., Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications, Proceedings of the 2024 Workshop on High Performance and Quantum Computing Integration, p11-18 (2024).

[10] S. Babaie and C. Qiao, Towards Distributed Quantum Error Correction for Distributed Quantum Computing, arXiv:2409.05244 (2024).

Contact Information

For inquiries, please contact:

In-Saeng Suh at suhi@ornl.gov and Esam El-Araby at esam@ku.edu