Introduction

In recent years, quantum computing has seen remarkable advancements, transitioning from theoretical constructs in the 1980s to hardware prototypes in the 2020s capable of managing hundreds of qubits. Despite its nascent stage, rapid developments in both quantum hardware and algorithms have initiated debates about the potential dominance of Noisy-Intermediate Scale Quantum (NISQ) devices over traditional computing systems. Noteworthy among the algorithms tailored for NISQ devices are Variational Quantum Algorithms (VQAs) and the Variational Quantum Eigensolver (VQE). These algorithms showcase resilience to noise and the ability to operate effectively with a limited number of qubits. Moreover, Hamiltonian Simulations provide valuable insights into the dynamics of quantum systems, further enriching our understanding and application of quantum principles to real-world problems in signal processing and beyond. This enriched toolkit promises to elevate the capabilities of quantum computing in signal processing, opening new avenues for research and application. 

Our workshop invites submissions that explore the convergence of quantum machine learning (QML) and communication networks. This session will focus on how recent advancements in QML can address key challenges in areas such as network optimization, data security, and traffic management. We are particularly interested in contributions that examine distributed and federated QML, privacy-preserving techniques, and the integration of QML with IoT and Edge Computing. Building on the momentum of groundbreaking research presented at ICCCN, this workshop seeks to foster interdisciplinary collaborations and emphasize the transformative potential of quantum technologies in communication networks.

Topics

We solicit contributions spanning a comprehensive spectrum of QML research from foundational training algorithms to applications in privacy and security, intended to include scientific, commercial, and industrial domains. By offering a platform for cutting-edge research, this workshop aims to catalyze the adoption and innovation of QML technologies, bridging the gap between quantum advancements and communication network challenges. The potential topics are as follows but not limited to:

• Quantum machine learning with quantum and classical communication networks

• Case studies and practical implementations of quantum machine learning in communication networks

• Quantum machine learning for IoT and edge computing

• Quantum machine learning for autonomous mobility

• Quantum machine learning in the context of trustworthy ML (e.g. differential privacy, federated learning, split learning)

• Quantum machine learning with an emphasis on cybersecurity

• Quantum machine learning in speech and natural language processing

• Quantum machine learning for scientific discovery

• Quantum machine learning for commercial and industrial applications

• Quantum machine learning systems

Important Dates

• Paper submission deadline: March 1, 2026 (Tentative)

• Paper acceptance notifications: May 10, 2026 (Tentative)

• Camera ready version due: June 2, 2026 (Tentative)

Organizing Team

Organizing Committee (Program Co-Chairs)

• Joongheon Kim, Korea University, Korea

• Shinjae Yoo, Brookhaven National Laboratory, USA

Program Committee

• Samuel Yen-Chi Chen, Wells Fargo Bank, USA

• Soohyun Park, Sookmyung Women's University, Korea

• Min-Hsiu Hsieh, Director of Foxconn Quantum Computing Center, Taipei, Taiwan

• Muhammad Ismail, Tennessee Tech University, USA

• Prayag Tiwari, Halmstad University, Sweden

• Fan Chen, Indiana University Bloomington, USA

• Huan-Hsin Tseng, Brookhaven National Laboratory, USA

• Mahdi Chehimi, American University of Beirut, Lebanon

• Su Fong Chien, MIMOS Berhad, Malaysia

• Jun Qi, Hong Kong Baptist University, Hong Kong

• Chao-Han Huck Yang, NVIDIA, Taiwan

Information for the Authors

Instructions for Authors

Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EDAS (http://edas.info/) as PDF files (formatted for 8.5x11-inch paper). The manuscripts should be no longer than 6 pages. Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop program committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es). 

Review and Publication of Manuscripts

Submitted papers will be reviewed by the workshop program committee and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the ICCCN 2026 venue by one of the authors registered at the full registration rate. Each workshop registration covers up to two workshop papers by an author. Accepted and presented papers will be published in the ICCCN proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore® Digital Library if the paper is not presented by the author at the conference. 

ICCCN 2026 Paper Submission Terms and Conditions

1. Authors declare that the submission is original and has not been submitted to other venue or under consideration by other venues. 

2. Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to ICCCN 2026 for review and in the final camera-ready manuscript. 

3. If the paper is accepted, at least one of the authors must register at full rate and present it in person at the conference. Accepted and paid paper(s) but not presented onsite by the registered author(s) (for any reason, including visa issues, travel problems, etc.) will be published in the conference proceedings only. We strongly encourage that all authors of accepted papers apply for entry visa to USA in case one author cannot get the entry visa.