Information Technology (IT) as a research discipline observes phenomena at the intersection of users, technology and information, and examines the needs and solutions that connect them. Quantum computing is a rapidly advancing field, and its state as an Information Technology at present is not well-understood. This study seeks to enhance the understanding of quantum computing as an Information Technology by identifying inflection points in its history and development through a series of expert interviews. Experts from two commercial quantum hardware/software developers, two academic institutions, and a United States National Lab were interviewed, and ten major historical themes relevant to quantum IT were identified in all. Ten inflection points were developed from these themes and specific historical trends were identified and discussed.
Information Technology (IT) as a research discipline observes phenomena at the intersection of users, technology and information, and examines the needs and solutions that connect them. Quantum computing is a rapidly advancing field, and its state as an Information Technology at present is not well-understood. This study seeks to enhance the understanding of quantum computing as an Information Technology by identifying inflection points in its history and development through a series of expert interviews. Experts from two commercial quantum hardware/software developers, two academic institutions, and a United States National Lab were interviewed, and ten major historical themes relevant to quantum IT were identified in all. Ten inflection points were developed from these themes and specific historical trends were identified and discussed.
Quantum Computing represents a transformative paradigm in information processing, leveraging principles of quantum mechanics to enable computations that transcend the limitations of classical computing. This research paper explores the cutting-edge technologies employed in Quantum Computing, examining the key components that facilitate quantum information processing.The purpose of this study is to provide a comprehensive exploration of the state-of-the-art technologies in Quantum Computing, laying the groundwork for future advancements and applications in this rapidly evolving field.The methodology employed in this study integrates three analytical approaches: sentiment analysis, topic modeling, and thematic analysis. Sentiment analysis is utilized to discern and quantify emotional tones within the content. Topic modeling is applied to identify latent themes and patterns within the data, revealing underlying structures. Thematic analysis, on the other hand, involves a systematic identification and exploration of recurrent themes to provide a nuanced understanding of the subject matter. This tripartite methodology ensures a comprehensive examination of the data, facilitating a robust and multifaceted analysis of quantum computing technologies.
Quantum computers leverage quantum mechanics to enable complex processing power enabling computation within a finite timeframe. As the industry reaches a peak of uncertainties in classical computing, researchers see an opportunity in quantum computing to resolve these uncertainties by unraveling the quantum mechanism that quantum physicists built for over a century. Organizations and academics have been working in tandem to conceptualize the quantum world through quantum computers. This article evaluates the tipping points of the quantum computers in the organization, the barrier of adoption, and a mitigation strategy. The article involves an extensive literature review of the current state and future application expectations from quantum computers. As part of this article, the authors interviewed senior industry technology experts to explore quantum computers’ introduction in the industry, and discussed the barriers to adopting quantum computing.
Quantum computing has evolved from a largely theoretical discipline into a field of growing interest for commercial and industrial applications. Recent advances in quantum hardware, algorithms, and cloud-based access have enabled early experimentation outside academic environments, raising questions about its potential impact on real-world decision-making and operational problems. This paper provides an overview of the current state of quantum computing with a focus on its emerging relevance in commercial contexts. It examines the categories of problems that have attracted attention from industry, particularly those involving high combinatorial complexity such as optimization, scheduling, logistics, and resource allocation. The analysis also reviews the global landscape of companies and initiatives engaged in quantum computing, highlighting different technological approaches, maturity levels, and regional characteristics. In parallel, the paper discusses the principal challenges and limitations that constrain widespread adoption, including hardware immaturity, algorithmic readiness, cost factors, and organizational requirements. By considering both opportunities and risks, this study aims to present a balanced and realistic perspective on the role quantum computing may play in business environments. The objective is to clarify the current position of quantum computing within the broader technological landscape and to support informed interpretation of its potential, limitations, and future trajectory in commercial applications.
The advancement of quantum hardware and the intricacies of quantum computing make well-designed quantum software increasingly necessary. Due to the interdisciplinarity of the field, it is crucial to understand the perspectives and specific needs of involved stakeholders, for example, to balance the desired level of abstraction with the exposition of (hardware)-specific details. In this work, we conduct a stakeholder-based analysis to identify personas of quantum software as a means of creating meaningful, user-tailored quantum software. We conducted an expert focus group at a Dagstuhl seminar in 2024 and qualitative interviews with practitioners at conference IEEE QCE in 2025, from which we derive eleven personas of potential users and stakeholders for quantum software. We discuss these personas regarding their use cases, interests, constraints and abstraction level.
Quantum technology has garnered considerable attention for its transformative potential across various industries since the early 2000s, precipitating a surge in quantum start-ups and substantial investments worldwide. However, comprehensive research on quantum technology in industries, particularly start-ups in the quantum field, remains limited. This study analyzes a dataset of 1,200 quantum start-ups from 40 countries, specifically focusing on 430 notable active start-ups. The analysis provides a thorough perspective on the industry’s progress, including trends in growth, geographical distribution, industry categorization, and investment patterns. The study categorizes start-ups into five domains: quantum computing, communication, sensing, hardware, and software. The analysis further captures the progress made by ten prominent quantum start-ups, six major technology companies, and quantum consortia regarding their technological innovations and strategic partnerships. We provide a comparative analysis of prior research to identify current conditions and future implications validated by notable studies, focusing on key parameters such as dataset scope, geographical distribution, growth trends, industry categorization, taxonomy, main interests in quantum fields, key players, and ecosystem identification. This approach underscores the dynamic growth of the quantum industry, which will drive future advancements.