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tasks will entail characterizing a state-of-the-art CXL hardware platform, bringing up and tuning analytics workloads, identifying and evaluating relevant performance optimizations at software and
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of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
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open science principles and produce software that is well documented. There may be opportunities to train Masters and PhD students in the research group. This role requires a significant amount of
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labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description