Mar 18 – 22, 2021
Stony Brook, NY
US/Eastern timezone

Searching for dark matter with a superconducting qubit

Mar 19, 2021, 12:00 PM
Stony Brook, NY

Stony Brook, NY

Online [US/EST Timezone]
Quantum Sensors Quantum Sensors


Akash Dixit (University of Chicago)


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. Current dark matter searches operating at microwave frequencies use a resonant cavity to coherently accumulate the field sourced by the dark matter and a near standard quantum limited (SQL) linear amplifier to read out the cavity signal. To further increase sensitivity to the dark matter signal, sub-SQL detection techniques are required. 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 $\epsilon \leq 1.68 \times 10^{-15}$ 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.

Primary authors

Akash Dixit (University of Chicago) Aaron Chou (Fermilab) David Schuster (U.Chicago) Ankur Agrawal (University of Chicago, Fermilab)

Presentation materials