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The Jülich UNified Infrastructure for Quantum computing (Talk and Panel in the Birds of a Feather session "Advanced Architecture Testbeds: Community Resources for Enhanced HPC")

Kristel F. L. Michielsen

Published Jan 1, 2025• 0 citations
OpenAlex

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Quantum computing promises unprecedented possibilities for important computing tasks such as quantum simulations in chemistry and materials science or optimization and machine learning. With this potential, quantum computing is increasingly attracting interest from industry and scientific communities that use high performance computing (HPC) for their applications.Practical application requires the integration of quantum computers into existing HPC infrastructures in the form of quantum-classical hybrid computing models.The Jülich UNified Infrastructure for Quantum computing (JUNIQ), a manufacturer-independent quantum computing user facility established at the Jülich Supercomputing Centre (JSC) aims to address these needs.As an example, we present benchmarking results for the quantum approximate optimization algorithm (QAOA) emulated on a supercomputer and for the D-Wave quantum annealers for the tail assignment problem, a planning problem from aircraft industry.

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EduPar 2025 Posters

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This paper presents an overview of the two posters accepted for the EduPar’25 poster session. The poster session serves as a valuable opportunity for community interaction, encouraging discussions on innovative approaches and emerging ideas.High-Performance Computing (HPC) and Quantum Computing (QC) are both critical for advancing computational capabilities, each complementing the other in solving complex problems. HPC provides the classical infrastructure necessary for simulating and optimizing quantum algorithms, enabling researchers to test and refine quantum models before deploying them on quantum hardware. The integration of HPC and QC paves the way for breakthroughs in scientific discovery, artificial intelligence, and next-generation computing technologies.In the first poster, the authors propose a workshop aimed at introducing secondary school students to the fundamentals of Quantum Computing (QC) and High-Performance Computing (HPC) combining a theoretical presentation with an escape room hands-on experience. The second poster explores how postgraduate students learn HPC skills through a qualitative approach, aligning key themes with learning theories and proposing interventions into undergraduate modules.

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum•Jun 3, 2025•1 citation
Quantum computing promises unprecedented possibilities for important computing tasks such as quantum simulations in chemistry and materials science or optimization and machine learning. With this potential, quantum computing is increasingly attracting interest from industry and scientific communities that use high performance computing (HPC) for their applications.Practical application requires the integration of quantum computers into existing HPC infrastructures in the form of quantum-classical hybrid computing models.The Jülich UNified Infrastructure for Quantum computing (JUNIQ), a manufacturer-independent quantum computing user facility established at the Jülich Supercomputing Centre (JSC) aims to address these needs.As an example, we present benchmarking results for the quantum approximate optimization algorithm (QAOA) emulated on a supercomputer and for the D-Wave quantum annealers for the tail assignment problem, a planning problem from aircraft industry.
The implementation of scalable processing workflows is essential to improve the access to and analysis of the vast amount of high-resolution and multi-source Remote Sensing (RS) data and to provide decision-makers with timely and valuable information. The Modular Supercomputing Architecture (MSA) systems that are operated by the Jülich Supercomputing Centre (JSC) are a concrete solution for data-intensive RS applications that rely on big data storage and processing capabilities. To meet the requirements of applications with more complex computational tasks, JSC plans to connect the High Performance Computing (HPC) systems of its MSA environment to different quantum computers via the Jülich UNified Infrastructure for Quantum computing (JUNIQ). The paper describes this unique computing environment and highlights its potential to address real RS application scenarios through high-performance and hybrid quantum-classical processing workflows.
This paper presents an overview of the two posters accepted for the EduPar’25 poster session. The poster session serves as a valuable opportunity for community interaction, encouraging discussions on innovative approaches and emerging ideas.High-Performance Computing (HPC) and Quantum Computing (QC) are both critical for advancing computational capabilities, each complementing the other in solving complex problems. HPC provides the classical infrastructure necessary for simulating and optimizing quantum algorithms, enabling researchers to test and refine quantum models before deploying them on quantum hardware. The integration of HPC and QC paves the way for breakthroughs in scientific discovery, artificial intelligence, and next-generation computing technologies.In the first poster, the authors propose a workshop aimed at introducing secondary school students to the fundamentals of Quantum Computing (QC) and High-Performance Computing (HPC) combining a theoretical presentation with an escape room hands-on experience. The second poster explores how postgraduate students learn HPC skills through a qualitative approach, aligning key themes with learning theories and proposing interventions into undergraduate modules.