QUANTUM COMPUTING FOR BUSINESS RISKS

Анотація

In an era defined by rapid changes and global connectivity, businesses must navigate a com
plex landscape of risks. Quantum computing, with its ability to process and analyze vast data sets,
offers transformative potential for identifying, analyzing, and mitigating risks by leveraging news
feeds, social media, and predictive modeling. This work explores how quantum computing can rev
olutionize risk analysis for businesses, highlights key modern cloud quantum technologies, and in
troduces basic concepts for modeling these scenarios.Quantum computing is emerging as a trans
formative tool in business risk analysis, particularly in processing vast datasets from news feeds and
social media to model future organizational scenarios. Its ability to handle complex computations at
unprecedented speeds offers significant advantages in identifying and mitigating risks. Deloitte in
it’s report [1] examines how quantum computing can enhance financial simulations, portfolio opti
mization, and risk management. It discusses the potential for quantum algorithms to process com
plex financial models more efficiently than classical computers. Bloomberg Law [2] explores the
integration of AI and quantum computing in automating risk monitoring through the analysis of
social media and news outlets. It highlights how these technologies can identify potential crises
before they escalate, thereby improving organizational resilience. Risk.net resource [3] delves into
the challenges and opportunities quantum computing presents in risk management, including its
application in stress testing and scenario analysis. In the previous articles authore analyzed usage of
Generative AI for risks analysis [4], however usage of quantum computing in the specific of risk
analysis using sentiment analysis of news and social media was not well analysed yet.