Detector R&D, Technology Transfer and Computing

The intrinsic complexity of fundamental physics experiments requires operating at the technology frontier and history witnesses that research output is beneficial to society in the long run. Detectors with ever-increasing spatial and timing resolutions are currently built to cope with the requirements of nuclear and subnuclear physics experiments. This in turn requires reconsidering new electronics technologies able to handle the enormous data flows and the development of new software and computing solutions able to sustain the new challenging conditions.

In this context, the adoption of Artificial Intelligence (AI) tools in high-energy physics — for instance in data analysis and complex pattern recognition — together with the advancement of Quantum Computing techniques, now constitutes a strategic lever for addressing scientific challenges and driving innovation and technological progress across diverse areas of society.