Abstracts

Quantum metrology for dark matter search

Presenting Author: Quntao Zhuang, University of Southern California

Quantum metrology is able to boost measurement precision in various applications. In this talk, I will use dark matter search as an example, to explain some ways how quantum sensing works and what advantages it can provide. I will start with an ultimate bound for noise sensing and its implication in dark matter search with microwave cavities - the ultimate limit of the 'scan-rate' given arbitrary input source and detection. Then I will talk about optimal schemes based on two-mode squeezing and a 'nulling' receiver. Afterwards, I will extend to an entangled sensor array (as axion wave length is huge), showing the boost of the scaling of scan-rate from coherent-signal processing and the joint noise suppression from multi-partite entanglement. Finally, I will discuss about generalization to opto-mechanical sensor arrays - for the detection of another hypothesis of dark matter called B-L model.

Read this article online: https://arxiv.org/abs/2208.13712, https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.3.030333

(Session 2 : Thursday from 10:45 am - 11:30 am)

 

SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
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SQuInT Co-Organizer
Hartmut Haeffner, Associate Professor, UC Berkeley
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SQuInT Administrator
Dwight Zier
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SQuInT Program Committee
Alberto Alonso, Postdoc, UC Berkeley
Philip Blocher, Postdoc, UNM
Neha Yadav, Postdoc, UC Berkeley
Cunlu Zhou, Postdoc, UNM

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Ivan Deutsch, Regents' Professor, CQuIC Director
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