Searching for Dark Matter with a Superconducting Qubit
ORAL
Abstract
Detection mechanisms for low mass bosonic dark matter candidates, such the axion or hidden photon, leverage potential interactions with electromagnetic fields, whereby the dark matter (of unknown mass) on rare occasion converts into a single photon. Here, we report the development of a novel microwave photon counting technique and a new exclusion limit on hidden photon dark matter. We operate a superconducting qubit to make repeated quantum non-demolition measurements of cavity photons and apply a hidden Markov model analysis to reduce the noise to 15.7 dB below the quantum limit, with overall detector performance limited by a residual background of real photons. With the present device, we perform a hidden photon search and constrain the kinetic mixing angle to $\epsilon \leq 1.82 \times 10^{-15}$ in a band around 6.011 GHz (24.86 $\mu$eV) with an integration time of 8.33 s. This demonstrated noise reduction technique enables future dark matter searches to be sped up by a factor of 1300. By coupling a qubit to an arbitrary quantum sensor, more general sub-SQL metrology is possible with the techniques presented in this work.
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Authors
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Akash Dixit
University of Chicago
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Srivatsan Chakram
Rutgers University
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Kevin He
University of Chicago
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Ankur Agrawal
University of Chicago
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Ravi Naik
University of California, Berkeley
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David Schuster
University of Chicago
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Aaron Chou
Fermi National Accelerator Laboratory, Fermi National Accelerator Lab