Quantum Computing - Artificial Intelligence for Industry Applications and Scientific Discovery

About the Workshop

Quantum technologies are rapidly advancing, with quantum com- puting, quantum communication, and quantum optimization set to revolutionize next-generation communication networks and learn- ing systems. Quantum communication offers unparalleled security through quantum key distribution (QKD) and entanglement-based methods, while quantum optimization enables more efficient solutions to large-scale problems like network optimization and resource man- agement. Variational quantum algorithms (VQAs), particularly suited for noisy intermediate-scale quantum (NISQ) devices, are driving hy- brid quantum-classical frameworks, integrating quantum computing with classical machine learning and signal processing to enhance the performance of distributed systems. Topics will include the integration of quantum communication protocols with network infrastructure, quantum optimization for enhanced efficiency, and applying quantum machine learning (QML) in areas such as distributed and federated learning, privacy-preserving QML, IoT, and edge computing. By bringing together researchers and industry experts, the workshop aims to address critical challenges, foster inter- disciplinary collaboration, and push the boundaries of innovation in communication networks and learning systems powered by quantum technologies.

QML is an innovative field at the intersection of Quantum Computing (QC) and Artificial Intelligence (AI), harnessing quantum algorithms to potentially revolutionize AI paradigms. As quantum computing evolves from theoretical ideas to hardware prototypes capable of managing hundreds of qubits, recent advancements have enabled promising applications in classification, regression, generative modeling, optimization, and reinforcement learning.

This workshop will gather leading researchers, industry practitioners, and scholars to explore the application of Quantum Computing and AI to both industrial challenges and scientific discovery. The goal is to foster an interdisciplinary dialogue on how quantum technologies can be expanded to tackle challenging problems in fields such as finance, healthcare, climate science, security, and biomedical research.

Topics of Interest

The scope of the workshop is interdisciplinary and includes, but is not limited to, the following topics:

• Novel quantum algorithms for classical AI tasks (classification, regression, clustering, dimensionality reduction)
• Quantum-inspired machine learning techniques
• Quantum communications and quantum key distribution for 6G security
• Quantum optimization for resource allocation in wireless communication networks
• Quantum Neural Networks, Quantum Reinforcement Learning, and Quantum Generative Models
• Variational Quantum Algorithms (VQAs), Eigensolvers (VQEs), and Classifiers
• Hybrid Quantum Computing with classical High Performance Computing (QC+HPC) paradigms
• Benchmarking quantum algorithms against classical computing for real-world problems
• Applications of QC and QML to finance, healthcare, climate, security, and biomedical sciences
• Applications to next-generation communication networks and IoT
• Use of QML for scientific discovery in chemistry, physics, and Earth science
• Applications of QML to finance, healthcare, climate, security, biomedical, etc)
• Scalability, hardware considerations, and ethical issues in QC and QML applications

Organizing Committee

Primary Contacts

• James Hendler Rensselaer Polytechnic Institute (RPI), USA
• Christopher Carothers Rensselaer Polytechnic Institute (RPI), USA
• Malik Magdon-Ismail Rensselaer Polytechnic Institute (RPI), USA
• Joongheon Kim Korea University, Seoul, Korea
• Samuel Yen-Chi Chen Wells Fargo Bank, USA
• Huan-Hsin Tseng Brookhaven National Laboratory, USA
• Stacy Patterson Rensselaer Polytechnic Institute (RPI), USA
• Kimberly Cornell University at Albany, USA
• Thilanka Munasinghe Rensselaer Polytechnic Institute (RPI), USA
• Muhammad Ismail Tennessee Tech University, Cookeville, TN, USA
• Juntao Chen Fordham University, USA
• Nishtha Langer Rensselaer Polytechnic Institute (RPI), USA
• Lydia Manikonda Rensselaer Polytechnic Institute (RPI), USA
• Yihe Yu, Rensselaer Polytechnic Institute (RPI), USA
• Jason Kuruzovich Rensselaer Polytechnic Institute (RPI), USA
• Sebastian Souyris Rensselaer Polytechnic Institute (RPI), USA
• Gideon K. Gogovi Lehigh University, USA
• Zhiding Liang Chinese University Hongkong, Hongkong
• Kuan-Cheng Chen , Imperial College London, UK
• Phung Lai , University at Albany, USA

Program Committee Members

• James Hendler Rensselaer Polytechnic Institute (RPI), USA
• Malik Magdon-Ismail Rensselaer Polytechnic Institute (RPI), USA
• Fan Chen Indiana University Bloomington, USA
• Kin K. Leung Imperial College London, UK
• Samuel Yen-Chi Chen Wells Fargo Bank, USA
• Kimberly Cornell University at Albany, USA
• Thilanka Munasinghe Rensselaer Polytechnic Institute (RPI), USA
• Jennifer Wei NASA Goddard Space Flight Center, USA
• Kuan-Cheng Chen Imperial College London, UK
• Soohyun Park Sookmyung Women's University, Korea
• Netanel Linder Technion – Israel Institute of Technology QEDMA, Israe
• Su Fong Chien Axon Logic, Greece
• Daswin De Silva La Trobe University, Australia
• Hsin-Yi Lin Seton Hall University, USA
• Nick LaHaye Spatial Informatics Group LLC, USA
• Xiohoua Pan NASA Goddard Space Flight Center, USA
• Kyo Lee NASA Jet Propulsion Laboratory (JPL), USA
• Hazem Mahmoud NASA Langley Research Center, USA
• Su Fong Chien Axon Logic, Multidisciplinary Research and Innovation Centre, Greece

Call for Papers

All submissions will undergo a rigorous single-blind peer-review process. Acceptance will be based on originality, technical quality, and relevance to the workshop's themes. We invite submissions for both full research papers and short position papers. The workshop paper page limit is 6, and the submissions can follow a single-blind policy, (instead of a double-blind policy). Submitted papers must represent original material that is not currently under review in any other conference or journal and has not been previously published. Paper length should not exceed the six-page standard IEEE conference two-column format (including all text, figures, and references). All accepted and presented papers will be included in the QCNC 2026 proceedings and further submitted to IEEE Xplore.

Paper Submissions

Select "make a new submission" and the workshop name to submit the papers.