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Quantum Information – Lx Work Objectives: The successful candidate will contribute to the ERC LESYNCH project. The aim of the work is to apply probabilistic methods and pseudo-random techniques to obtain
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), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand algorithmic intent, architectural
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experience in simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and
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to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers
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), atomic, molecular and optical (AMO) physics or in quantum information theory. *Interested in quantum algorithm and quantum informatic research that cuts across the different subareas of physics. *Able
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analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
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Position Description PART 01 Introduction of the project group Relying on mathematics, quantum computing, computer, microelectronics and other disciplines, Center for Network and Information
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strong background in both materials physics and computation to join our Quantum Materials team. We seek candidates who are interested in developing cutting-edge tools for analysis of comprehensive single