Computação Quântica e IA nos negócios: uma agenda de pesquisa

Authors

Keywords:

inteligência artificial, Computação quântica, inteligência artificial quântica, negócios

Abstract

This research aims to conduct a comprehensive review of the current state of Quantum Artificial Intelligence (QAI), with a focus on its gaps, challenges, and implementation prospects in a business context. Using a qualitative literature review methodology, the research identifies four key areas of challenges: (1) hardware limitations, (2) algorithm development, (3) data processing, and (4) the scarcity of practical applications. The study reveals that approximately 78% of efforts focus on overcoming technical obstacles, while only 22% present applications with measurable results. The article also points to the growing role of corporate science, with large companies leading innovation. Given this scenario, a research agenda is proposed in three horizons (short, medium, and long-term) that prioritizes the development of hybrid algorithms, investment in quantum materials, and the addressing of ethical and regulatory dimensions. The article concludes that the advancement of QAI requires a pragmatic balance between fundamental research and practical application.

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Author Biographies

Mariana Mickosz Ravedutti, PPGA/BSUP - Universidade Positivo

Degree in Physics from the Federal University of Paraná (UFPR), a Master's in Business Administration from UTFPR, a postgraduate degree in Business Engineering from PUC-PR, a specialization in Humanities (Sociology, History, and Philosophy) from PUC-RS, and an MBA in Social Entrepreneurship and Impact Business from Instituto Legado, I am currently pursuing a PhD in Business Administration at Universidade Positivo, focusing on Artificial Intelligence in Social Investments.

My academic and professional trajectory is guided by interdisciplinarity and the practical application of knowledge, which provides me with a comprehensive and strategic vision to face contemporary challenges in the technological and social spheres. During my academic career, I developed projects that integrated the exact, human, and administrative sciences, promoting critical thinking and innovation. This experience is reflected in my doctoral research, which explores the use of artificial intelligence in social investments, identifying opportunities and improving resource allocation in transformation and social impact initiatives.

In my professional career, I worked for six years as an instructor at SENAC/PR, teaching various courses and developing essential communication and teaching skills for the training of new professionals, including Young Apprentices. In the private sector, I worked for over a decade at Banco do Brasil, where, working in areas such as Human Resources, Planning, Operational Risk, and Compliance, I strengthened my ability to operate in complex and regulated environments, contributing to process improvement and the development of risk mitigation strategies through a systemic and strategic vision. There, I also worked for ten years coordinating communication and self-development (ECOA) teams, where I won the Best Sustainable Practices Award at BB for two years and worked in the operational group implementing the Eco-Efficiency Program.

I also worked in consulting and business management, having been a partner for three years in a Strategy, Design, and Marketing firm, where I led projects that integrated these three areas for clients across various sectors. Currently, as a founding partner of the startup e.feito Social, I am dedicated to developing solutions that increase the allocation of resources from companies and individuals to social impact projects throughout Brazil. This initiative is based on the principle that economic and social development can go hand in hand through management based on ethics, innovation, and social responsibility.

The combination of my multidisciplinary training, professional experience, and research in artificial intelligence creates an innovative approach that transforms challenges into opportunities for growth and inclusion. By uniting technology, science, and social responsibility, I strive to create more efficient and transparent management tools, serving as a model for future initiatives and reinforcing my commitment to ethics, sustainability, and social innovation.

Rodrigo Maia, PPGA/BSUP - Universidade Positivo

Profissional associado ao Núcleo Interdisciplinar de Gestão Pública (NIGEP) da Universidade Estadual de Londrina. Doutorando em Administração pelo PPGA-BSUP da Universidade Positivo. Membro do grupo de pesquisa AI-LaBs.

Luiz Pereira Pinheiro Junior, PPGA/BSUP - Universidade Positivo

Doutor em Administração pela FGV de São Paulo (EAESP), Professor no Mestrado e Doutorado da Universidade Positivo - BSUP, Head do Laboratório de Negócios & Inteligência Artificial (AiLaBS) e Product Operations Manager em Fundos Garantidores (FGI/FGO) no Global Trade & Finance do Bradesco.

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Published

2025-11-19

Conference

2025: Congresso de Transformação Digital 2025

Section

Trabalho Científico - Trabalho Completo