Abstract This chapter explores the ongoing substantial financial investments required for developing and commercializing quantum computing technology. Given the field’s high uncertainty and long-term potential, investments are crucial for advancing breakthroughs in cryptography, materials science, and complex system simulations. The chapter examines the rise of quantum computing funding from the private equity and venture capital standpoints, highlighting key players like IBM and Google and emerging firms such as Rigetti and IonQ. It provides a detailed analysis of private funding trends, valuations, and geographic distribution, underscoring the sector’s growth despite market volatility and regional concentration challenges. It also focuses on the discrepancies in funding allocation and performance among startups and the significant role of established companies like Microsoft, Google, and IBM in shaping the industry. Looking ahead, the chapter emphasizes the need for innovative financial models to assess investment returns, considering the nascent nature of quantum technology and the scarcity of financial data from private firms.
Abstract This chapter explores the ongoing substantial financial investments required for developing and commercializing quantum computing technology. Given the field’s high uncertainty and long-term potential, investments are crucial for advancing breakthroughs in cryptography, materials science, and complex system simulations. The chapter examines the rise of quantum computing funding from the private equity and venture capital standpoints, highlighting key players like IBM and Google and emerging firms such as Rigetti and IonQ. It provides a detailed analysis of private funding trends, valuations, and geographic distribution, underscoring the sector’s growth despite market volatility and regional concentration challenges. It also focuses on the discrepancies in funding allocation and performance among startups and the significant role of established companies like Microsoft, Google, and IBM in shaping the industry. Looking ahead, the chapter emphasizes the need for innovative financial models to assess investment returns, considering the nascent nature of quantum technology and the scarcity of financial data from private firms.
Quantum computing offers transformative computational capabilities, disrupting traditional investment paradigms and reshaping venture capital (VC) strategies. This paper examines its economic impact on VC, highlighting advancements in cryptography, materials science, and AI that create opportunities for startups and alter risk-reward dynamics. By analyzing trends and case studies, we reveal how quantum innovation accelerates cycles, redefines valuations, and reshapes global competition, guiding investors, policymakers, and entrepreneurs in navigating the emerging quantum landscape.
Building on decades of fundamental research, new applications of Quantum Science have started to emerge in the fields of computing, sensing and networks. In the current phase of deployment, in which quantum technology is not yet in routine use but is still transitioning out of the laboratory, Venture Capital (VC) is critical. In association with public funding programs, VC supports startups born in academic institutions and has a role to play in structuring the priorities of the ecosystem, guiding it towards applications with the greatest impact on society. This paper illustrates this thesis with a case-study: the experience of the first dedicated quantum fund, Quantonation I, chronicling its impacts on the production of scientific knowledge, job creation and funding of the industry. The paper introduces concepts to support the emergence of new startups and advocates for funding of scale-up quantum companies. The paper concludes with proposals to improve the impact of the industry by taking steps to better involve society-at-large and with a call for collaboration on projects focused on the applications with a large societal benefit.
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.
The aim of this research is to investigate the effects of quantum computing on financial analysis and forecast accuracy. Given the significant increase in the volume of financial data and the complexity of financial decision-making, the need to use new technologies such as quantum computing is increasingly felt. The research collected data from 100 financial analysts, researchers, and IT professionals, as well as conducted in-depth interviews with twenty experts. The findings show that 70% of respondents emphasize that quantum computing can effectively increase the accuracy of financial forecasts. However, significant challenges have been identified, such as high costs and the need for complex infrastructure to implement the technology. Additionally, 35% of professionals express concerns about data security and privacy. Finally, this paper offers recommendations that include investing in human resource development and establishing new security protocols to best exploit the potential opportunities of quantum computing. This research can help better understand the impact of quantum computing innovations on the future of the financial industry and provide practical solutions to address emerging challenges. Also, more detailed studies on the social and economic impacts of this technology on financial markets and how it interacts with other technologies could enrich the results of this research.
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 technology is evolving rapidly with a potential to influence financial services. While quantum computing offers strong prospects for improving predictive analytics, risk management, and portfolio optimisation, its integration into financial systems remains constrained by algorithmic redesign requirements and technological limitations. This study reviews and synthesises research at the intersection of quantum computing and finance to map prevailing trends, thematic concentrations, and future inquiry paths. A systematic search of Web of Science and Scopus (2000–2023) identified 75 relevant studies, which were analysed using VOSViewer and Biblioshiny. The analysis shows that scholarly interest in quantum applications to finance accelerates only after 2020, indicating a temporal lag relative to the broader quantum computing literature. Four thematic clusters emerge: quantum cryptography and security, financial data processing, quantum algorithms for finance, and quantum machine learning. These areas reflect differing levels of maturity but reveal a shared emphasis on high-complexity modelling, enhanced data processing, and secure transaction frameworks. The review underscores the need for deeper algorithmic refinement, robust validation of financial use cases, and interdisciplinary collaboration among physicists, computer scientists, and finance researchers. Advancing these fronts will be essential for translating quantum potential into practical, scalable financial innovations.