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The emergence of quantum computing and intelligent computational systems represents a fundamental shift in how complex problems are modeled, analyzed, and solved. By integrating quantum architectures with neural computing, advanced analytics, and autonomous decision platforms, this next computing frontier opens possibilities far beyond the capabilities of classical paradigms. These advances are reshaping the very foundation of Enterprise Information Systems (EIS) and Digital Innovation across industries, government, and society. While quantum-enabled algorithms promise breakthroughs in optimization, cryptography, and complex system simulation, intelligent systems enable organizations to extract deeper insights from large-scale data and automate processes at an unprecedented scale. For technology leaders and practitioners, the convergence of these paradigms raises critical questions regarding enterprise readiness, infrastructure design, cybersecurity, and governance. To realize this potential, organizations must explore how these emerging computing models interact with existing cloud, edge, and distributed environments. Understanding the design, deployment, and real-world applicability of these integrated technologies is essential for ensuring security, reliability, and scalability within modern digital ecosystems.
This special issue of IT Professional provides a platform for researchers and practitioners to explore the theoretical foundations, strategic implications, and practical opportunities of quantum and intelligent computing for modern enterprise IT. By highlighting innovative frameworks, architectural designs, and real-world deployments, the issue seeks to guide digital leaders as they navigate the next computing frontier. We particularly encourage contributions that present cross-disciplinary innovations or lessons learned from industry implementations, with the ultimate goal of advancing our understanding of how these next-generation paradigms will reshape enterprise architectures and future information systems.
Only submissions that describe previously unpublished, contemporary research and practice that are not currently under review by a conference, or another journal will be considered. Extended versions of conference papers must be at least 30 percent different from the original conference works. Feature articles should be no longer than 4,200 words and have no more than 20 references (with tables and figures counting as 300 words each). Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding unnecessary theory, mathematics, jargon, or abstract concepts. For author guidelines, see the Author Information Page.
All manuscripts must be submitted to the IEEE Author Portal by the deadline, making sure that the specific special issue is selected in order to be considered for publication under this Call for Papers. Submissions are subject to peer review on both technical merit and relevance to IT Professional’s readership.
The use of artificial intelligence (AI)–generated text in an article should be disclosed in the acknowledgements section, while the sections of the paper that present AI-generated text verbatim should be quoted within quotation marks and provide a citation to the AI system used to generate the text.
In addition to submitting your paper to IT Professional, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission.
