Impact of quantum computing on organizations and their technological infrastructure
Impacto de la computación cuántica en las organizaciones y su infraestructura tecnológica
Abstract (en)
This article investigates the impact of quantum computing (QC) as an emerging technology with the potential to benefit businesses and their technological infrastructure. The main objective is to describe the challenges organizations face when adopting it, as well as the opportunities it offers in increasingly competitive and strategically complex markets driven by exponential growth. The study also identified that, while quantum computing promises to revolutionize areas such as resource optimization, productivity efficiency, and the simulation of future scenarios—enabling better-informed decision-making and risk mitigation—its implementation encounters significant obstacles: high costs, the need for specialized talent, and new security risks. To address these barriers, hybrid models combining cloud and local infrastructure, as well as microservices, have emerged as practical alternatives, enabling organizations to access this technology without requiring substantial initial investment. Ultimately, this research contributes to the academic discussion that quantum computing is not a replacement but rather a complement that can be integrated gradually and carefully. The path forward requires efforts in education and policy to ensure accessible and ethical development, preventing it from becoming a tool reserved for only a few.
Abstract (es)
El presente artículo analiza el impacto de la computación cuántica (CQ) como una tecnología emergente con el potencial de transformar las organizaciones y su infraestructura tecnológica. El objetivo principal fue describir los desafíos que enfrentan las empresas al adoptarla, así como las oportunidades que ofrece en un mercado cada vez más competitivo y estratégico dentro de la lógica exponencial.
Los hallazgos muestran que, aunque la computación cuántica promete revolucionar áreas como la optimización de recursos, la reducción de tiempos de procesamiento y la simulación de escenarios futuros para apoyar la toma de decisiones informadas y la mitigación de riesgos, su implementación presenta obstáculos significativos. Entre ellos se destacan los altos costos, la necesidad de talento especializado y los nuevos riesgos de seguridad.
Para superar estas barreras, los modelos híbridos que combinan infraestructura en la nube y local, junto con el uso de microservicios, se perfilan como alternativas viables que permiten a las organizaciones acceder a esta tecnología sin requerir una inversión inicial excesiva.
En conclusión, la investigación aporta a la discusión académica al plantear que la computación cuántica no debe entenderse como un reemplazo, sino como un complemento que puede integrarse de manera gradual y cuidadosa. El camino hacia su consolidación exige esfuerzos en educación y en el diseño de políticas públicas que garanticen un desarrollo accesible, ético y equitativo, evitando que se convierta en una herramienta exclusiva para unos pocos.
References
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