Optimal Cold Atom Thermometry Using Adaptive Bayesian Strategies

Overview of attention for article published in PRX Quantum, December 2022

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (82nd percentile)
Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Still unsure? Explore ongoing work on practical sensing platforms: https://t.co/QOUVXx7uSB, https://t.co/PCJpgNjs62, and https://t.co/7ehKdzSa6h, where these principles are experimentally validated. 3/5

Finally, those interested in quantum thermometry may be pleased to know this work was made possible by the lessons learnt from early developments in experimental Bayesian thermometry: https://t.co/4qYYSYb0q3, in collaboration with collagues at @OpenQuan…

RT @OpenQuantum_ULL: To wrap up his visit to La Laguna, Jonas Glatthard (@UoE_Physics) talks about how to improve real-life thermometry on…

To wrap up his visit to La Laguna, Jonas Glatthard (@UoE_Physics) talks about how to improve real-life thermometry on cold atoms using Bayesian sorcery. Read it here: https://t.co/CPCTcO53Ia https://t.co/ZqKbrytD8T

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