Post Doctoral Position in QML (Quantum Machine Learning)

Post Doctoral Position in QML (Quantum Machine Learning)The Quantum Information (QI) team in LIP6, Sorbonne Université, is looking for a post doctoral researcher in Quantum Machine Learning.The QI team is an interdisciplinary research group covering computer science, theoretical physics, and experimental quantum optics. We are based in LIP6, Sorbonne Université, in central Paris, and are founding members of interdisciplinary centres the Quantum Information Centre Sorbonne and the Paris Centre for Quantum Technologies. We are involved in many regional, national, and international initiatives in quantum information, including several EU flagship projects. We strive to promote equality, diversity, inclusion, and tolerance.All successful candidates will be expected to manage their own research, contribute to the working life of the team, and they will also have the opportunity to help supervise students and teach.The position is initially for 12 months, renewable for up to 24 months, with a flexible start date.We are looking for a theoretical post-doc in quantum machine learning, with probable experience in the field or in adjacent areas such as quantum algorithms or classical machine learning. Our group focuses on theoretical aspects of QML: from measures of expressibility, barren plateaus, and other concentration, to the definition of quantum advantage through classical approximability, and trade-off between these phenomena. Our goal is to find the list of conditions under which a quantum advantage in QML is still plausible. We are also interested in mitigating known caveats through Subspace preserving QML. More generally, we are interested in anything QML, including implementation with photonic quantum computers, and more applied work.How to applyThe deadline for the first round of applications is 30/06/2024, and the second round of applications is 31/08/2024.Applicants should send their CV, a cover letter, and arrange for at least two references to be sent to [email protected]. #J-18808-Ljbffr