Abstract

The landscape of modern science and technology is being rapidly reshaped by artificial intelligence (AI) via the powerful tools for ab initio design, data analysis, optimization and control [1]. Particularly, in the domain of quantum physics where experiments are rigorous and tend to generate highdimensional datasets and where device architectures are based on complex parameter spaces, AI offers new pathways to facilitate accelerated innovation and discovery. However, real progress can only arise from the integration of fundamental physical principles and AI and machine learning. This synergy is termed as the hybrid intelligence and leverages the strengths of both domains, namely the rigorous, interpretation and predictive characteristics of physics and the adaptability and pattern recognition features of AI [2-5]. 

This mini colloquium aims to highlight the emerging role of hybrid intelligence in the advancements of quantum science and technology. Topics will include physics-informed machine learning, AI-driven quantum material discovery, autonomous laboratories for device fabrication and low-temperature measurements, and intelligent strategies for error mitigation and noise-resilient quantum sensing. By promoting interdisciplinary discussions between physicists, computer scientists, and engineers, the session aspires to pinpoint how hybrid strategies can unify theory and experimentation, strengthen reproducibility, and accelerate the innovation of next-generation quantum technologies. The event will delve into how the fusion of AI and physics can chart a transformative course for the quantum age.

REFERENCES 

[1] R. M. Devadas et al. MethodX 14, 103318 (2025)
[2] G. Carleo et al. Rev. Mod. Phys. 91, 045002-1 (2019)
[3] C. Lopez et al. Adv. Mater. 35, 2208683 (2023)
[4] V. Dunjko et al. Rep. Prog. Phys. 81, 074001 (2018)
[5] E. Bedonna et al. J. Phys.:Condens. Matter 33, 053001 (2021)

Organizers

Name	Affiliation
Rajdeep Adhikari	Johannes Kepler University, Linz
Alberta Bonanni	Johannes Kepler University, Linz