2026 IEEE INTERNATIONAL CONFERENCE ON

Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering

OCTOBER 20-23, 2026 Β· CHEMNITZ, GERMANY

THEMATIC SESSION #19

Quantum Paradigms for AI and Metrology: Redefining Limits in Computation and Sensing

ORGANIZED BY

D'Arco Mauro D'Arco

Mauro D'Arco

University of Naples Federico II, Italy

D'Iorio Matteo D'Iorio

Matteo D'Iorio

University of Naples Federico II, Italy

Lo Regio Fabrizio Lo Regio

Fabrizio Lo Regio

University of Naples Federico II, Italy

THEMATIC SESSION DESCRIPTION

Quantum technologies are redefining the landscape of computation and sensing, offering transformative solutions to challenges that traditional methods struggle to overcome. These technologies go beyond classical limitations, unlocking unprecedented potential in computational speed, measurement accuracy, and secure data transmission. As quantum technologies mature, their integration into everyday applications holds significant promise.

This thematic session aims to bridge the gap between theoretical advancements and practical applications, inviting contributions that explore the impact of quantum technologies, specifically Quantum Computing and Quantum Sensing, in transforming established standards in AI and metrology.

We encourage discussions on how quantum-enhanced algorithms enable faster and more accurate processing of complex, high-dimensional datasets, providing solutions where traditional techniques fall short due to the inherent complexity of the data. In addition, the session will focus on Quantum Sensing as a revolutionary tool for precision measurement, where Quantum-enhanced sensors push the limits of classical metrology, offering improvements in the measurement of physical quantities that could transform various industries. We also welcome contributions on the integration of Quantum Communication technologies into secure data transmission.

ABOUT THE ORGANIZERS

Mauro D'Arco is Full Professor of Electrical and Electronic Measurements at the Department of Electrical Engineering and Information Technologies (DIETI) of the University of Naples Federico II. He is responsible for teaching: Numerical Measurement Instrumentation for the Master's Degree Course in Electrical Engineering, Electronic Measurements for Bioengineering for the Master's Degree Course in Biomedical Engineering, and Fundamentals of Measurements for the Degree Course in Biomedical Engineering. He is a member of the Steering Committee of the Advanced Metrological and Technological Services Center (CeSMA) and of the Teaching Board of the Doctorate in Information Technology and Electrical Engineering (ITEE) with administrative headquarters at the University of Naples Federico II. He is the Italian representative within the IEC Validation Team-VT 60050 for the management and maintenance of the International Electrotechnical Vocabulary. He is a member of the Technical Committee CT 1/25 "Terminology, quantities and units" of the Italian Electrotechnical Committee CEI. His main research interests include measurement foundations, numerical instrumentation, measurements for bioengineering, quantum technologies for computation, communication, and sensing.

Matteo D'Iorio is a PhD student in Information and Communication Technology for Health (ICTH) at the University of Naples Federico II, where he graduated with honors in Biomedical Engineering. His research explores the potential of quantum computing and the characterization of quantum sensors, with a focus on biomedical applications.

Fabrizio Lo Regio is a PhD candidate in Information Technology and Electrical Engineering at the University of Naples Federico II, where he received the M.S. degree (cum laude) in Biomedical Engineering in 2022. He is a Research Fellow at the Advanced Center for Metrological Services (CeSMA). As an expert in the Laboratory Technology Area for Smart Sensing & Internet of Things, he developed and promoted the enabling technologies of Industry 4.0 for the Regional Strategic Project "Manifattur@ Campania: Industria 4.0". His research focuses on software solutions based on Quantum Machine Learning, and on the metrological characterization of quantum computing devices and human-machine interaction in extended reality environments.

WITH THE PATRONAGE OF

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