Marco Armenta, PhD
Principal Quantum & AI Advisor

Marco is a quantum and AI researcher with a PhD in pure mathematics and a postdoctoral fellowship in AI. His academic work focuses on the mathematical structures underlying complex systems, ranging from algebra to machine learning, and he has published research that connects abstract mathematics to real-world computational problems. He also conducts ongoing research in AI and has hands-on experience helping companies design and implement agentic AI systems. At Qubo Consulting Corp., Marco advises clients on quantum technology strategy, helping them understand where quantum offers genuine advantage today versus where the hype outpaces the reality, grounding decisions in solid technical fundamentals rather than trends.
Languages: English, French & Spanish (fluent).
Additional Links/Resources
Seminar at Cambridge University on representation theory and neural networks - 2021
QHack’s Pennylane on using AI to improve quantum algorithms' runtime - 2024
Seminar at the Institut quantique of the University of Sherbrooke on foundations of quantum mechanics - 2026
Podcast - expert explains the math of quantum physics to amateur - 2026
Round 1
Podcast - expert explains the math of quantum physics to amateur - 2026
Round 2















