Five-fold precision enhancement in a cold atom experiment via adaptive symmetry-informed Bayesian strategies

• URL: http://arxiv.org/abs/2410.10615v2
• Date: Wed, 6 Nov 2024 00:19:02 GMT
• Title: Five-fold precision enhancement in a cold atom experiment via adaptive symmetry-informed Bayesian strategies
• Authors: Matt Overton, Jesús Rubio, Nathan Cooper, Daniele Baldolini, David Johnson, Janet Anders, Lucia Hackermüller,
• Abstract summary: We demonstrate an adaptive Bayesian measurement strategy for atom number estimation in a quantum technology experiment. Compared to a standard unoptimised strategy, our method yields a five-fold reduction in the fractional variance of the atom number estimate.
• Score: 2.477017847456471
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Bayesian methods promise enhanced device performance and accelerated data collection. We demonstrate an adaptive Bayesian measurement strategy for atom number estimation in a quantum technology experiment, utilising a symmetry-informed loss function. Compared to a standard unoptimised strategy, our method yields a five-fold reduction in the fractional variance of the atom number estimate. Equivalently, it achieves the target precision with a third of the data points previously required. We provide general expressions for the optimal estimator and error for any quantity amenable to symmetry-informed strategies, facilitating the application of these strategies in quantum computing, communication, metrology, and the wider quantum technology sector.

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