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Optimizing Metrological Devices with Memory-Efficient Automatic Differentiation

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Abstract

We present a computational framework for the direct optimization of measures of metrological gain without analytic gradients, such as the quantum Fisher information. The method is enabled by a new memory-efficient formulation of automatic differentiation.

© 2022 The Author(s)

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