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, allowing efficient transduction of mechanical vibrations into electrical signals at millikelvin temperatures. These devices support coupling between electronic, spin, and mechanical states. The proposed
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photometry and interferometric scattering microscopy, we will explore novel illumination and detection strategies to enhance signal-to-noise ratios and improve the accuracy and precision for molecular
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at deep cryogenic temperatures in dilution refrigerators. Notably, we have demonstrated quantum entanglement between two micromechanical oscillators realized as vibrating aluminum drumheads [Nature 556, 478
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to demonstrate skills and knowledge in laser spectroscopy and imaging, ideally in vibrational or acoustic microscopy. Knowledge of mechanical testing and complementary molecular spectroscopy methods is desirable
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Experience with environmental monitoring technologies: Familiarity with data loggers and interpreting temperature, humidity, and vibration data. Knowledge of drone flight planning and regulatory frameworks
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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static and time-resolved vibrational spectroscopic methods. To strengthen our team, we are looking for a PostDoc for 3 years. The position is dedicated to study with (time-resolved) sum frequency
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hardware-level noise suppression, quantum error mitigation, all the way to full fault-tolerant computation. This post is primarily funded by the EPSRC Quantum Technologies Fellowship held by Dr Cai
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full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from hardware-level noise suppression
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Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with