The 3rd Workshop on Quantum Algorithms, Software and Applied Research (QUASAR) is part of the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 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.
Quantum computing systems represent perhaps the most heterogeneous computing systems known, and with the inherent parallelism in their basic operators are an emerging research area for high-performance computing. QUASAR’s emphasis on information retrieval applications reflects the unique ways in which the storage capabilities of conventional systems may be merged with the extraordinary search and retrieval capabilities of quantum.
QUASAR will be held in Cleveland, OH (USA) on July 13th 2026 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.
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
To recognize outstanding contributions to QUASAR’26—and to actively support early-career researchers—ClassiQ will sponsor two paper awards:
$1,000 – Best Paper Award: Awarded to the authors of the highest-quality paper accepted to QUASAR’26, as selected by the Program Committee.
$500 – Best Student Paper Award: Awarded to the best paper authored solely or primarily by a postgraduate (Master’s/PhD) student. This award is meant to encourage postgraduate and doctoral students to submit their strongest work, in line with QUASAR’s commitment to supporting young researchers.
Awards will be based on the peer-review evaluations and the final camera-ready version. Winners will be announced during the workshop and highlighted on the QUASAR website.
Dr. Qiang Guan is an Associate Professor in the Department of Computer Science at Kent State University and a Guest Scientist at Los Alamos National Laboratory (LANL). He directs the Green Ubiquitous Autonomous Networking System (GUANS) Lab at Kent State University. His research interests include quantum computing systems, data visualization, cloud performance modeling and optimization, cloud dependability and reliability analysis, cloud failure detection and prediction, virtualization, power management and green computing in cloud infrastructures, resilience analysis in high-performance computing (HPC), resource management in cloud systems, as well as data mining, machine learning, signal processing, and image processing in biometrics.
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The program will include a visit to the Cleveland Clinic, which hosts a state-of-the-art IBM quantum computer. The facility is located within a very short walking distance from the conference venue.
The visit will provide participants with the opportunity to see a real quantum computing system and to learn about its deployment in a research environment at the intersection of quantum computing, high-performance computing, and healthcare applications.
2026 marks the 30th anniversary of Grover’s quantum search algorithm, one of the most influential breakthroughs in the history of quantum computing. Since its introduction in 1996, Grover’s algorithm has fundamentally shaped our understanding of quantum speedups for unstructured search, information retrieval, optimization, and hybrid quantum–classical computing.
To celebrate this milestone, QUASAR 2026 will host a special anniversary panel dedicated to Grover-based solutions. In conjunction with this panel, QUASAR 2026 explicitly welcomes and strongly encourages paper submissions addressing Grover’s algorithm and related quantum search paradigms.
Relevant topics include, but are not limited to:
Grover-inspired algorithms and amplitude amplification techniques
Quantum search and information retrieval applications
Practical implementations on near-term and fault-tolerant quantum hardware
Hybrid quantum–classical approaches leveraging Grover-style primitives
Theoretical limits, refinements, variants, and extensions of Grover’s algorithm
Critical assessments of applicability, performance, and scalability
The anniversary panel aims to offer both a retrospective on three decades of Grover’s algorithm and a forward-looking discussion on its role in shaping future quantum algorithms and applications. Submissions from both established researchers and early-career scientists are particularly welcome, in line with QUASAR’s strong commitment to supporting young researchers in quantum computing.
Simone Faro, University of Catania
Hailong Jiang, Youngstown State University
Ji Liu, Aragonne National Laboratory
Jean-Gabriel Luque, University of Rouen
Francesco Pio Marino (Chair), University of Catania
Ulrik de Muelenaere, University of Notre Dame
Arianna Pavone (Chair), University of Palermo
Shuai Xu, Case Western Reserve University
We encourage submissions that contribute to the advancement of quantum search and information retrieval methodologies. 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.
Authors are invited to submit their original research papers via the HotCRP submission system. 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: March 16, 2026
Notification of Acceptance: April 24, 2026
Camera Ready Papers due: May 16, 2026
Workshop Date: July 13, 2026
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The QUASAR workshop will be held in Cleveland, OH (USA), location Tinkham Veale University Center, 11038 Bellflower Rd.
QUASAR has evolved year by year. Here you can find the previous editions of the conference, together with links to programs, calls, and available resources.
Arianna Pavone at University of Palermo (ariannamaria.pavone@unipa.it)
Francesco Pio Marino at Univerisity of Catania (fracesco.marino@phd.unict.it)