Abstract
The integration of quantum computing (QC) with high-performance computing (HPC) ecosystems has the potential to assist in solving a variety of complex problems in science and industry. However, the standardization, design, and development of robust software frameworks to seamlessly integrate QC and HPC remains significant challenges. This workshop aims to bring together researchers, engineers, software developers, and industry professionals to explore state-of-the-art software solutions, frameworks, and tools for hybrid quantum-HPC (Q-HPC) ecosystems. The workshop will emphasize key topics such as resource optimization, workflow management systems, programming models, distributed algorithms, emerging Q-HPC paradigm, and real-world applications case studies. Through invited talks, panel discussions, and hands-on sessions, the workshop will foster collaboration, highlight current challenges, and identify future directions in this rapidly evolving domain.
Motivation and Objectives
Although quantum computing (QC) technology continues to evolve, it currently faces limitations in the number of qubits, circuit depth, and error rates, making it challenging to address large-scale, real-world problems. Hybrid Quantum-HPC (Q-HPC) systems are emerging as a promising approach to overcome these challenges by combining the strengths of classical High-Performance Computing (HPC) systems and quantum processors.
Realizing the full potential of such systems requires advanced software frameworks that:
- manage heterogeneous HPC and QC resources;
- foster an open standard approach;
- are performant and portable;
- decompose large-scale problems for hybrid execution; and
- provide automated tools for error mitigation, resource optimization, and scalability.
In addition to complementing ICS’25 themes by emphasizing key relevant topics, the goal of this workshop is to:
- present the latest advancements in software frameworks for integrating QC and HPC.
- showcase cutting-edge research and tools in Q-HPC software development.
- facilitate interdisciplinary collaboration between quantum and HPC communities.
- identify open challenges and opportunities for future research.
- equip attendees with practical knowledge through hands-on demonstrations.
Proposed Topics
The workshop will cover, but is not limited to, the following topics:
- Software frameworks for hybrid Q-HPC systems.
- Q-HPC software open standards.
- User interface and Q-HPC system design.
- Workflow management and orchestration in Q-HPC ecosystems.
- Quantum programming languages and HPC integration.
- Optimization algorithms leveraging Q-HPC resources.
- Scalability and performance benchmarks for Q-HPC applications.
- Resource allocation and scheduling strategies in hybrid environments.
- Case studies in large-scale simulations and optimizations using Q-HPC ecosystems in applications such as chemistry, materials science, hyperspectral imagery, and high-energy physics, etc.
Target Audience
The workshop is targeted at:
- Researchers and industry professionals in QC and HPC.
- Software developers and engineers working on distributed and hybrid systems.
- Domain scientists interested in leveraging Q-HPC systems for specific applications.
- Graduate students and early-career researchers looking to gain hands-on experience.
Expected Outcomes
- 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.
Workshop Deliverables
- 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.
We invite submissions of extended abstracts (up to 2 pages) presenting above related topics 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 and slides will be presented as regular talks.
Program Committee Members
- Yuri Alexeev (Nvidia), Alessandro Baroni (ORNL), Daniel C. Claudino (ORNL), Marco Ghibaudi (Riverlane), Peter Groszkowski (ORNL), Seongmin Kim (ORNL), Katherine Klymko (LBNL), Ryan Landfield (ORNL), Vicente L. Ortega (ORNL), Vincent R. Pascuzzi (IBM), Eduardo A. Coello Perez (ORNL), Amir Shehata (ORNL), Erica Stump (IonQ), Elaine Wong (ORNL)
Steering Committee
- Tom Beck (ORNL), Edoardo Giusto (U of Naples, Italy), Bert de Jong (LBNL), Travis Humble (ORNL), Ang Li (PNNL), Frank Mueller (NCSU), Martin Schulz (TUM, Germany), Rafael Da Silva (ORNL), Shinjae Yoo (BNL)
