CTIF Global Capsule Scientist Paulo Sergio Rufino Henrique defended with succes his PhD Viva on Quantum Computing for 6G Networks
Four years of research into the convergence of quantum computing, artificial intelligence and next-generation wireless communications culminated on 22 September 2026.
CGC extends its warmest congratulations to Dr. Sergio Rufino Henrique on his successful PhD defense and looks forward to continued collaboration with this skilled specialist on the question of how quantum computing and probabilistic computational approaches could contribute to the evolution of future 6G networks.
Paulo Sergio Rufino Henrique doctoral research has been conducted under the supervision of Professor Pavlos I. Lazaridis, University of Huddersfield; Professor Ramjee Prasad, founder of CTIF Global Capsule and a longstanding international researcher in wireless communications and future network technologies; and Professor Qasim Ahmed from the University of Huddersfield.
Four Years Exploring the Quantum Future of 6G
Over the past four years, Paulo has dedicated a significant part of his research to one of the emerging questions facing the telecommunications community: how could quantum computing and probabilistic computational approaches contribute to the evolution of future 6G networks?
The research investigates the convergence of 6G hyperconnectivity, cognitive networks, artificial intelligence and machine learning, Bayesian and probabilistic models, quantum computing, and Quantum Machine Learning (QML).
A central theme is the increasing complexity expected in future communication environments. As networks evolve beyond 5G, they are expected to support enormous numbers of connected devices, heterogeneous services, increasingly autonomous network functions and demanding technical and human-centric requirements.
Paulo’s research explores how future network architectures could move beyond conventional automation towards systems capable of increasingly sophisticated cognitive network behavior.
From Cognitive Networks to Quantum Metacognitive 6G
The research examines three interconnected challenges associated with highly connected future networks: network complexity, network entropy and the black-box problem. It then investigates probabilistic and quantum-enhanced computational approaches as complementary mechanisms for dealing with uncertainty, nonlinear behavior and increasingly complex network orchestration.
The work brings together concepts from several disciplines, including complex network theory, Bayesian inference, Quantum Bayesian Neural Networks (QBNN), Quantum Machine Learning, cognitive systems and metacognition.
This interdisciplinary approach reflects a broader question for the 6G research community: could future networks evolve from systems that simply automate decisions into networks capable of monitoring, evaluating and adapting their own decision-making processes?
Keeping People at the Centre of 6G
The research also considers 6G from a human-centric perspective.
Future wireless technologies will not be defined exclusively by faster data rates or greater connection density. Their value will increasingly depend on how technological advances can support trust, inclusion, personalization, accessibility, sustainability and quality of experience.
This perspective connects the engineering challenges of 6G with the wider societal ambitions surrounding communications beyond 2030.
Research Connecting Academia, Industry and Scientific Collaboration
Paulo’s doctoral journey also builds upon his broader activities across telecommunications, quantum technologies and scientific publishing.
As a Scientist at CTIF Global Capsule, his work contributes to international discussions around future communications and the convergence of emerging technologies. As Editor-in-Chief of the Quantum Information Technologies Journal at River Publishers, he is also closely engaged with developments across quantum computing, quantum communications and quantum-safe technologies.
His research has resulted in publications addressing subjects ranging from quantum mechanics for cognitive radio networks and quantum computing for 6G to Bayesian neural networks, human-centric communications and the evolution of wireless technologies beyond 2030.
The Viva therefore represents more than the conclusion of an academic manuscript. It is the culmination of several years of interdisciplinary investigation into how quantum technologies could become part of the computational toolbox available to engineers designing future generations of communication networks.