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for interdisciplinary research at the interface of energy systems, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific
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build a practical route towards large-scale quantum information processing. The project connects near-term quantum advantage in MBGBS with a longer-term vision for universal photonic quantum computing
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hereafter. The duration of the position is three years. Your work tasks This PhD position focuses on the application of quantum computing to computational challenges in power systems with high shares of
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 2 months ago
fascinated by quantum computers and eager to help make that potential a reality? Do you enjoy research and want to join a world-class European consortium shaping the future of quantum computing? Then join
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also
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exactly solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and
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operation and very low energy consumption. The overall aim is to establish new device concepts that could contribute to high-performance classical computing and emerging brain-inspired computing hardware
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-temperature scanning tunnelling microscopy, ARPES, Kerr microscopy, femtosecond pump-probe and terahertz spectroscopy, electron microscopy, positron annihilation. Theory: high-performance computing, and
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emerging applications requires low–temperature operation of CMOS transistors, such as spatial applications, high performance computing, high energy physics…, with a temperature of operation below 100K
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-performance computing (HPC) systems are expected. Experience in one or more of the following areas is desirable: machine learning, agentic AI, software engineering, scientific machine learning, or