Quantum computing is anticipated to revolutionise industries by providing breakthrough computational capabilities. However, even though the business community acknowledges this potential, uncertainty surrounding the technology still restricts investments. This article explores the uncertainties associated with potential future use cases of quantum computing and how companies navigate these uncertainties through adaptive and experimental learning processes. Based on interviews with managers representing various business sectors, our findings reveal how companies navigate exogenous and endogenous uncertainties in quantum computing adoption and show how they explore these uncertainties through adaptive and experimental approaches.
Quantum computing is anticipated to revolutionise industries by providing breakthrough computational capabilities. However, even though the business community acknowledges this potential, uncertainty surrounding the technology still restricts investments. This article explores the uncertainties associated with potential future use cases of quantum computing and how companies navigate these uncertainties through adaptive and experimental learning processes. Based on interviews with managers representing various business sectors, our findings reveal how companies navigate exogenous and endogenous uncertainties in quantum computing adoption and show how they explore these uncertainties through adaptive and experimental approaches.
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.
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 stands at the precipice of technological revolution, promising unprecedented computational capabilities to tackle some of humanity’s most complex problems. The field is highly collaborative and recent developments such as superconducting qubits with increased scaling, reduced error rates, and improved cryogenic infrastructure, trapped-ion qubits with high-fidelity gates and reduced control hardware complexity, and photonic qubits with exploring room-temperature quantum computing are some of the key developments pushing the field closer to demonstrating real-world applications. However, the path to realizing this promise is fraught with significant obstacles across several key platforms, including sensitivity to errors, decoherence, scalability, and the need for new materials and technologies. Through an exploration of various quantum systems, this paper highlights both the potential and the challenges of quantum computing and discusses the essential role of middleware, quantum hardware development, and the strategic investments required to propel the field forward. With a focus on overcoming technical hurdles through innovation and interdisciplinary research, this review underscores the transformative impact quantum computing could have across diverse sectors.
Quantum computing is emerging as one of the most transformative technologies of the 21st century, with significant implications for business strategy, workforce development, education systems, and global economic competitiveness. This paper introduces the foundational principles of quantum computing, including superposition, entanglement, interference, and decoherence, and explains how these mechanisms enable quantum systems to outperform classical computers in solving complex problems. It further examines the potential applications of quantum computing across industries such as pharmaceuticals, finance, automotive engineering, artificial intelligence, and logistics, highlighting both opportunities for innovation and risks of disruption. Attention is given to anticipated labor market shifts, the growing need for quantum literacy in higher education and professional training, and the relationship between quantum technologies and artificial intelligence acceleration. The paper also explores broader societal and demographic implications, including the risk of widening technological inequality between developed and developing nations. Ultimately, the study argues that while quantum computing presents unprecedented opportunities for economic advancement and scientific discovery, proactive policy planning, educational adaptation, and international collaboration will be essential to ensure inclusive and sustainable adoption.
Quantum computing represents a transformative leap in information processing, holding the promise to revolutionize industries through its unprecedented computational capabilities. This paper explores the evolving landscape of quantum computing by analyzing current developments, technological challenges, and emerging opportunities. It examines how quantum principles are being translated into real-world applications and identifies key obstacles to mainstream adoption, such as hardware instability, error correction, and the need for specialized quantum algorithms. By evaluating both the scientific and socio-economic implications, this paper aims to provide a comprehensive understanding of the future trajectory of quantum computing.