Improving quantum metrology protocols with programmable photonic circuits

• URL: http://arxiv.org/abs/2411.07929v1
• Date: Tue, 12 Nov 2024 17:02:38 GMT
• Title: Improving quantum metrology protocols with programmable photonic circuits
• Authors: A. Muñoz de las Heras, D. Porras, A. González-Tudela,
• Abstract summary: Photonic quantum metrology enables the measurement of physical parameters with precision surpassing classical limits. generating states providing a large metrological advantage is hard because standard probabilistic methods suffer from low generation rates. We introduce and compare different deterministic strategies based on continuous and programmable Jaynes-Cummings and Kerr-type interactions.
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• Abstract: Photonic quantum metrology enables the measurement of physical parameters with precision surpassing classical limits by using quantum states of light. However, generating states providing a large metrological advantage is hard because standard probabilistic methods suffer from low generation rates. Deterministic protocols using non-linear interactions offer a path to overcome this problem, but they are currently limited by the errors introduced during the interaction time. Thus, finding strategies to minimize the interaction time of these non-linearities is still a relevant question. In this work, we introduce and compare different deterministic strategies based on continuous and programmable Jaynes-Cummings and Kerr-type interactions, aiming to maximize the metrological advantage while minimizing the interaction time. We find that programmable interactions provide a larger metrological advantage than continuous operations at the expense of slightly larger interaction times. We show that while for Jaynes-Cummings non-linearities the interaction time grows with the photon number, for Kerr-type ones it decreases, favoring the scalability to big photon numbers. Finally, we also optimize different measurement strategies for the deterministically generated states based on photon-counting and homodyne detection.

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