[DMANET] QUASAR 2025 - 2nd Workshop on Quantum Algorithms, Software and Applied Research

QUASAR 2025 - 2nd Workshop on Quantum Algorithms, Software and Applied Research
Notre Dame, IN (USA) on July 20th 2025
Web Page: https://sites.google.com/view/quasar25


FIRST CALL FOR PAPERS

The 2nd Workshop on Quantum Algorithms, Software and Applied Research (QUASAR) is part of the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC: https://hpdc.sci.utah.edu/2025/), the premier annual conference for presenting the latest research on the design, implementation, evaluation, and use of parallel and distributed systems for high-end computing.

QUASAR will be held in Notre Dame, IN (USA) on July 20th 2025 and aims to serve as a platform for the presentation of new research results in quantum computing, with a key focus on the broadly defined field of Information Processing and Retrieval, leveraging the emerging paradigm of quantum computing. QUASAR is committed to providing both young and established researchers with the opportunity to submit research papers that report fresh, original and innovative findings. The primary objectives of QUASAR are to facilitate connections and partnerships within the academic community, while promoting an environment conducive to the academic exchange of ideas, methodologies and the dissemination of recent advances in quantum information recovery and research.

QUASAR places a strong emphasis on supporting young researchers and, for this reason, articles written exclusively or mainly by postgraduate students or postdoctoral researchers are particularly welcome.


AIMS AND SCOPE

The Quantum Algorithms, Software and Applied Research (QUASAR) conference aims to provide a platform for researchers, academicians, and industry professionals in the field of Computer Science to discuss and exchange insights on advancements, challenges, and emerging trends in quantum algorithms, software development, their diverse applications, and how they might be affected in advances in quantum architectures.

The primary topics of this conference include, but are not limited to:
- Advancing Quantum Algorithms: Presenting and exploring innovative quantum algorithms designed to address complex computational challenges across various domains, emphasizing efficiency, scalability, and applicability within the Computer Science community.
- Information Retrieval Techniques: Investigating cutting-edge information retrieval methodologies leveraging quantum computing paradigms for enhanced data indexing, retrieval, and analysis.
Quantum Software Development: Investigating best practices, tools, and frameworks for developing quantum software, with a focus on programming languages, compilers, optimization techniques, and their integration into classical computing workflows.
- Hybrid Quantum and Classical Systems: Exploring hybrid quantum-classical architectures, algorithms, and systems that leverage the complementary strengths of quantum and classical computing for solving complex problems across various domains.
- Applications and Implementations: Showcasing real-world applications of quantum computing, spanning fields such as machine learning, optimization, cryptography, artificial intelligence, and data analysis, with a strong emphasis on their computational impact.
- Theoretical and Practical Perspectives: Facilitating discussions on the theoretical underpinnings of quantum algorithms, alongside practical demonstrations and case studies highlighting their implementation in computational contexts.
- Interdisciplinary Collaboration: Encouraging cross-disciplinary exchanges between quantum computing experts, software engineers, and researchers in Computer Science, fostering innovation and novel approaches.
- Languages and Language Semantics for Quantum Computing: Investigating languages and semantic models specifically designed for quantum computing, with a particular focus on hybrid systems, quantum programming paradigms, and information retrieval in quantum contexts.
- Quantum Artificial Intelligence: Exploring the intersection of quantum computing and artificial intelligence, focusing on quantum-enhanced machine learning models, optimization in AI systems, quantum neural networks, and the transformative potential of quantum technologies in AI research and applications.

The conference invites submissions of research papers, case studies, demonstrations, and presentations addressing these objectives. In addition, QUASAR places a strong emphasis on supporting young researchers, and, for this reason, papers authored solely or primarily by postgraduate students or postdoctoral researchers are particularly welcomed


PAPER SUBMISSION

Submitted papers are required to range from a minimum of 5 pages to a maximum of 8 pages, excluding clearly marked appendices. Authors are required to use the sigconf LaTeX template provided by the Association for Computing Machinery (ACM) for manuscript preparation. Submitted papers must present original work that has not been published elsewhere or is currently under review for another conference or journal.

The review process will follow a single-blind approach, ensuring impartial evaluations of the submissions. Accepted papers will be presented at the workshop and published by ACM in the workshop proceedings.

HPDC employs a single-blind review process. Kindly note that the presence of a paper on arXiv does not restrict authors from submitting a paper to QUASAR. ArXiv papers undergo no peer review and are not considered formal publications; hence, they are not regarded as prior works. Authors need not make comparisons against arXiv papers that have not been formally published in conference proceedings or journals previously


IMPORTANT DATES

Paper Submission Deadline: April 15, 2025
Notification of Acceptance: May 12, 2025
Camera Ready Papers due: June 1, 2025
Workshop Date: July 20, 2025


PROGRAM CHAIRS

Peter M. Kogge, University of Notre Dame (USA)
Arianna Pavone, Università degli Studi di Palermo (Italy)
Caterina Viola, Università degli Studi di Catania (Italy)


For any additional information visit: https://sites.google.com/view/quasar25






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