Principal Investigator: Josep Escrig
Email: josep.escrig@i2cat.net
Web: www.i2cat.net
Brief Theme Description:
We are seeking a researcher with a strong background in both Artificial Intelligence and Quantum Technologies, or with significant expertise in one of these fields and a keen commitment to build expertise in the other. This fellowship provides a unique opportunity to initiate a novel research line at the intersection of these two pioneering areas. The appointed fellow will drive research that explores how quantum computation can be utilized to accelerate AI, specifically through the application of quantum algorithms for neural network training and the integration of quantum states into AI models. This work will include studying quantum machine learning models and evaluating the potential benefits of quantum approaches in terms of speed and accuracy. Additionally, the fellow will have the opportunity to investigate how AI can uncover and enhance functionalities within Quantum Technologies. Research in this area will involve developing advanced quantum communication protocols, optimizing quantum operations, and identifying innovative applications for quantum systems in various domains.
The fellowship provides a unique opportunity for the researcher to establish new collaborations with prominent research institutions and industry partners, paving the way to bridge academic research with practical applications. The fellow will be responsible for initiating and fostering relationships with leading companies and research centers, actively contributing to advancements in the rapidly evolving field of AI-Quantum integration and building a foundation for impactful, long-term partnerships.
Available Infrastructures: ML cluster equipped with GPUs.
Possible Secondments: Opportunities for collaboration and secondment may be available with institutions specializing in Quantum Computing and AI, such as ICFO, UAB, UPV/EHU, or other European universities where we can establish new partnerships.
Keywords: Quantum Computing; Quantum Machine Learning; Quantum Algorithms; Neural Network Optimization; Quantum-AI Integration.
