Progress towards implementing GC-enhancement in an axion search

ORAL

Abstract

Dynamically coupling a science cavity with an auxiliary readout resonator via simultaneous frequency-conversion (C) and entanglement (gain, G) processes is expected to yield an advantage in weak signal searches where the frequency of the signal tone is a priori unknown [1]. When applied to a demonstration experiment designed to mimic an axion search in which synthetic axion signals were injected with powers far below the level of vacuum fluctuations, the GC-enhanced technique yielded a 5.6-fold scan rate enhancement relative to an equivalent search at the quantum limit. Nevertheless, there are several technical challenges to be overcome before the technique can be applied to a real axion search. In particular, higher-order parametric processes such as single mode squeezing that limit the achievable interaction rates need to be regulated and a transmission line must be introduced to physically separate the superconducting readout circuitry from the large magnetic field that will surround the axion-sensitive science cavity. Here, we present progress towards overcoming these challenges and applying the technique to a real axion search.

[1] K. Wurtz et al. A cavity entanglement and state swapping method to accelerate the search for axion dark matter. arxiv:2107.04147 (2021)

*This work was supported by the Fermi National Accelerator Laboratory (Fermilab), the U.S. Department of Energy, the Office of Science, and the HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. Additionally, this work was supported by Q-SEnSE: Quantum Systems through Entangled Science and Engineering (NSF QLCI Award OMA-2016244) and the NSF Physics Frontier Center at JILA (Grant No. PHY-1734006).

Presenters

  • Elizabeth P Ruddy

    • University of Colorado Boulder
    • JILA

Authors

  • Elizabeth P Ruddy

    • University of Colorado Boulder
    • JILA
  • Yue Jiang

    • JILA
  • Kyle Quinlan

    • JILA
  • Maxime Malnou

    • National Institute of Standards and Technology
  • Nicholas E Frattini

    • JILA and NIST
    • Yale University
    • JILA
    • National Institute of Standards and Technology
  • Konrad Lehnert

    • University of Colorado, Boulder
    • JILA
    • JILA/CU Boulder