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Trapped Electrons and Ions as Particle Detectors

Daniel Carney, Hartmut Häffner, David C. Moore, and Jacob M. Taylor
Phys. Rev. Lett. 127, 061804 – Published 5 August 2021

Abstract

Electrons and ions trapped with electromagnetic fields have long served as important high-precision metrological instruments, and more recently have also been proposed as a platform for quantum information processing. Here we point out that these systems can also be used as highly sensitive detectors of passing charged particles, due to the combination of their extreme charge-to-mass ratio and low-noise quantum readout and control. In particular, these systems can be used to detect energy depositions many orders of magnitude below typical ionization scales. As illustrations, we suggest some applications in particle physics. We outline a nondestructive time-of-flight measurement capable of sub-eV energy resolution for slowly moving, collimated particles. We also show that current devices can be used to provide competitive sensitivity to models where ambient dark matter particles carry small electric millicharges e. Our calculations may also be useful in the characterization of noise in quantum computers coming from backgrounds of charged particles.

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  • Received 14 April 2021
  • Revised 1 June 2021
  • Accepted 19 July 2021

DOI:https://doi.org/10.1103/PhysRevLett.127.061804

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyParticles & FieldsAtomic, Molecular & OpticalGeneral Physics

Authors & Affiliations

Daniel Carney1, Hartmut Häffner2, David C. Moore3, and Jacob M. Taylor4,5

  • 1Physics Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
  • 2Department of Physics, University of California, Berkeley, California 94720, USA
  • 3Wright Laboratory, Yale University, New Haven, Connecticut 06511, USA
  • 4Joint Quantum Institute, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
  • 5Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, Maryland 20740, USA

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Issue

Vol. 127, Iss. 6 — 6 August 2021

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