The management of information systems has a long-standing tradition of studying information infrastructures and the architecture of the systems they represent to understand the socio-technical phenomena in organizations (Henfridsson and Bygstad, 2013; Henningson and Eaton, 2023;Koutsikouri et al., 2018; Mehrizi et al., 2019; Rodol Modol and Eaton, 2021; Tilson et al., 2010). Systems evolve so fast that infrastructures struggle to adapt and keep the dynamic movement of the changes in systems. The existing literature shows that due to this constant change and considering the layered modular architecture of digital technologies (Yoo et al., 2010), previously launched technologies are entrenched, making novel technologies dependent on the previous ones (Rodol Modol and Eaton, 2021). However, little focus has been given to what happens when novel technologies that can’t work with the previously entrenched technologies arrive in the infrastructure, particularly when these technologies do not follow the organizing digital logic underlying digital infrastructures (e.g., quantum computing). In this extended abstract, we present the exploration of the emerging infrastructure of quantum computing and its relationship with the existing digital infrastructure in the IT industry. Using an industry database of 1132 companies working with quantum technologies, we analyzed the different architectures proposed by these. We plan to conduct a network analysis to understand the relationship between the organizations and the type of quantum computers they use. We expect to find potential trends to outline the different perspectives on developing a quantum computer, helping practitioners prepare for the upcoming quantum computer disruption. We also expect to contribute to theory by expanding the view over infrastructure, bringing a dimension that relates but goes beyond digital. We outline the main conversations in the literature we join and the expected analysis to conduct with our data. Also, expectations regarding the workshop are shared to receive feedback on further developing the article.
The management of information systems has a long-standing tradition of studying information infrastructures and the architecture of the systems they represent to understand the socio-technical phenomena in organizations (Henfridsson and Bygstad, 2013; Henningson and Eaton, 2023;Koutsikouri et al., 2018; Mehrizi et al., 2019; Rodol Modol and Eaton, 2021; Tilson et al., 2010). Systems evolve so fast that infrastructures struggle to adapt and keep the dynamic movement of the changes in systems. The existing literature shows that due to this constant change and considering the layered modular architecture of digital technologies (Yoo et al., 2010), previously launched technologies are entrenched, making novel technologies dependent on the previous ones (Rodol Modol and Eaton, 2021). However, little focus has been given to what happens when novel technologies that can’t work with the previously entrenched technologies arrive in the infrastructure, particularly when these technologies do not follow the organizing digital logic underlying digital infrastructures (e.g., quantum computing). In this extended abstract, we present the exploration of the emerging infrastructure of quantum computing and its relationship with the existing digital infrastructure in the IT industry. Using an industry database of 1132 companies working with quantum technologies, we analyzed the different architectures proposed by these. We plan to conduct a network analysis to understand the relationship between the organizations and the type of quantum computers they use. We expect to find potential trends to outline the different perspectives on developing a quantum computer, helping practitioners prepare for the upcoming quantum computer disruption. We also expect to contribute to theory by expanding the view over infrastructure, bringing a dimension that relates but goes beyond digital. We outline the main conversations in the literature we join and the expected analysis to conduct with our data. Also, expectations regarding the workshop are shared to receive feedback on further developing the article.
This article examines the emerging necessity of quantum-secure infrastructure in data centers amid advancing quantum computing capabilities that threaten conventional cryptographic systems. It provides a comprehensive analysis of quantum security fundamentals, implementation methodologies across data center ecosystems, and the evolving international regulatory landscape governing these technologies. This article explores various cryptographic approaches that offer quantum resistance, comparing their advantages against traditional security frameworks while detailing practical migration strategies for both modern and legacy data center environments. By addressing the technical, operational, and strategic dimensions of quantum security, this article serves as a roadmap for organizations navigating the transition to post-quantum cryptographic readiness in an era where data protection faces unprecedented computational challenges.
Quantum computing is a new technological discovery that has the potential to transform industries based on high computational capabilities. This work explores how quantum computing will be integrated into AI applications and what impacts it will have on IT networks. A review of the recent literature shows that IT networks need to be upgraded to receive quantum-enhanced AI algorithms, as they require more computation power and faster real-time processing. It covers three major topics: the enabling of quantum AI applications, the role of QRC (quantum reservoir computing) in IT networking, and the challenges concerning the protocols of quantum communication, such as QKD (quantum key distribution). Network architectures of today’s state of the art will have to evolve toward enabling quantum-enabled AI, primarily regarding processing speed and interaction between the quantum and classical systems. This work, therefore, wishes to explain how such technological advances could influence AI applications and tune IT networks. We discuss the following questions: How can IT networks support the exploitation of quantum computing for AI applications? What effects do the dynamics and symmetries of quantum reservoir computing have on IT networks? Which IT networks can adapt to the challenges introduced by quantum computing technologies? The scope and depth of contributions reviewed in the articles together suggest huge potential for quantum computing in optimizing machine learning processes and IT networks with improved data handling and network management. At the same time, these ambitions are underlined by scaling concerns related to quantum hardware and qubit stabilization, and finally, the relative easiness with which quantum-classical computing is retrofitted into existing IT infrastructures. The findings suggest that hybrid quantum-classical systems will be essential in future IT infrastructure; efficiency and scalability will have to balance with security concerns in quantum computing environments.
Quantum computing promises breakthroughs in areas such as optimization and simulation but also threatens widely used cryptographic systems that secure contemporary digital infrastructures. As a result, organizations and governments are beginning to explore the opportunities and risks associated with quantum computing. Yet key questions remain regarding the current landscape of quantum computing adoption, how organizations should prepare for the inherent threat to cryptography, and who should govern the transition to quantum-safe infrastructures. This panel brings together leading scholars from information systems and cybersecurity to discuss these issues from technological, organizational, and governance perspectives. The discussion aims to clarify emerging adoption patterns, explore strategies for preparing for post-quantum cryptography, and identify implications for the governance of future digital infrastructures.
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve specific problems currently intractable for classical computers (e.g., cracking cryptographic keys). Since we are getting to a point where we can no longer build smaller, more powerful, more efficient devices with conventional methodologies, we need to think of new ways for technological progress. The manufacturing of microchips is reaching its limits in the use of traditional architectures. Hence, new and more advanced technologies need to address the challenges of increasing energy consumption and data processing. Connectivity, scalable architectures and concepts like Cloud Computing and Software-as-a-Service have already helped to scale computational-intense applications in the last years and have attracted the interest of IS researchers (e.g., Benlian et al. 2009 ; Benlian et al. 2018 ; Messerschmidt and Hinz 2013 ). Looking ahead to the next generation, computing will comprise technologies that enable high-performance applications far beyond today’s possibilities. One prominent example with a disruptive potential is Quantum Computing. While there are abundant open questions and directions for further developments, researchers in this area have made substantial progress in the last decade, indicating that, after medical imaging, lasers, and superconductors, another quantum-technological innovation might be approaching. We, therefore, intend to provide an overview of the current state of Quantum Computing research and outline how this new technology might stimulate research in Information Systems.
Quantum computing is increasingly viewed as a transformative technology for optimization, cybersecurity, analytics, simulation, and organizational decision-making (Kar et al., 2025). Yet the Management Information Systems field has not fully articulated what a quantum-informed MIS research agenda should look like. We introduce Quantum MIS (Q-MIS) as an emerging domain concerned with how organizations prepare for, adopt, govern, and create value from quantum-enabled information systems. We argue that Quantum MIS should not be understood only as the technical application of quantum computing. Rather, it should be theorized as a socio-technical transformation in which quantum capabilities interact with organizational routines, managerial cognition, governance structures, data infrastructures, and institutional readiness. We ground this agenda in three IS theoretical traditions: sociotechnical systems theory, IT capability and dynamic capabilities perspectives, and affordance theory (Larsen et al., 2025). First, drawing on sociotechnical systems theory, we argue that quantum value will emerge from aligning technology, people, tasks, structures, and organizational processes. Second, building on IT capability and dynamic capabilities perspectives, we conceptualize quantum readiness as an organizational capability involving sensing quantum opportunities, seizing viable use cases, and transforming digital infrastructures. This view aligns with prior IS research that conceptualizes IT capability as a strategic organizational resource linked to firm performance (Bharadwaj, 2000). Third, using affordance theory, we suggest that quantum technologies may create new action possibilities for optimization, simulation, security, and decision support, but these affordances will be realized only when firms possess the knowledge, resources, and governance mechanisms to actualize them. We position Quantum MIS around five research domains: quantum readiness, quantum-enabled decision systems, hybrid classical and quantum infrastructure, quantum cybersecurity governance, and the societal implications of quantum capability gaps. Our contribution is threefold. First, we define Quantum MIS and distinguish it from the technical study of quantum computing. Second, we connect quantum computing to core IS theories, showing how existing theory can guide early inquiry into post-classical information systems. Third, we outline a preliminary research agenda and practical implications for managers preparing for quantum-enabled digital transformation. As organizations experiment with quantum technologies under uncertainty, MIS scholars have an opportunity to shape the conversation before quantum technologies become mainstream (Kar et al., 2025).
As quantum computers advance, they will fundamentally change the ways the information systems that currently secure communications, financial systems, healthcare records, government databases and critical infrastructure are protected. Although quantum technologies offer great promise for future scientific endeavors and processing power, they also present new dangers for cybersecurity. This paper explores the threats that are emerging as a result of Quantum Computing, focusing on the vulnerability of popular public-key cryptographic methods like RSA, Diffie–Hellman and Elliptic Curve Cryptography. The study also delves into the consequences of "harvest now, decrypt later": Information encrypted today could be made available when sufficiently strong quantum computers are ready. The research adopts a qualitative approach with a thorough literature survey of scholarly works on quantum-safe security standards, international cybersecurity frameworks, and recent advancements in the field. It evaluates the readiness of organizations, governments and technology vendors to deal with the changing threats of quantum computing. The study also highlights emerging counter measures, such as post quantum cryptography, quantum key distribution, cryptographic agility, zero trust security architectures, and risk-based migration strategies to build long-term cyber resilience. The results indicate that while large-scale quantum computers are still being developed which could compromise current encryption systems, it is important to plan ahead and implement quantum-resistant technologies to mitigate future security risks. To achieve quantum-safe cybersecurity, a concerted effort is needed, involving a collaboration between policymakers, researchers, industry players and standardization organizations, to provide secure digital ecosystems. In the end, the paper argues that a blend of quantum-resistant cryptographic solutions and adaptive cybersecurity governance and continuous innovation will be a critical enabler in protecting information assets in the quantum era. The study will contribute to the existing body of work on quantum cybersecurity and provide insights into the challenges and opportunities of creating secure and future-proof cybersecurity systems.