Summary from listing
Ericsson is seeking a Master's thesis student to research quantum machine learning and quantum geometry, focusing on quantum kernel classifiers, geometry-aware variational circuit optimization, and the effects of hardware noise on quantum circuits. The work combines quantum information theory, differential geometry, and applied machine learning, uses IBM Q hardware for experimental validation, and applies the research to an enterprise security classification task. The student will develop a geometric framework, compare optimizers, analyze noise diagnostics, and benchmark against classical machine learning baselines.
