Spin qubit with coherence exceeding one second measured by microwave photon counting. Part 1/3

ORAL

Abstract

Electron spin resonance (ESR) spectroscopy is the method of choice for characterizing paramagnetic

impurities, with applications ranging from chemistry to quantum computing, but it gives only

access to ensemble-averaged quantities due to its limited signal-to-noise ratio. The sensitivity needed

to detect single electron spins has been reached so far using spin- dependent photoluminescence,

transport measurements, or scanning probes. These techniques are system-specific or sensitive only

in a small detection volume, so that practical single spin detection remains an open challenge.

Using single-electron-spin-resonance techniques recently demonstrated [3] we characterize the

magnetic environment of the single electron probe. The technique consists in measuring the spin

fluorescence signal at microwave frequencies [1, 2] using a microwave photon counter based on a

superconducting transmon qubit [3]. In our experiment, individual paramagnetic erbium ions in a

scheelite crystal of CaWO4 are magnetically coupled to a small-mode-volume, high-quality factor

superconducting microwave resonator to enhance their radiative decay rate [4]. The method applies

to arbitrary paramagnetic species with long enough non-radiative relaxation time, and offers large

detection volumes ( ∼ 10μm3) ; as such, it may find applications in magnetic resonance and quantum

computing.

In the first part of this talk, we will focus on a Single Microwave Photon Detector (SMPD), which

working principle is based on Circuit QED. A previous version of

this design, which enabled single electron spin detection for the first time, has reached a sensitivity

of 10−22W/√Hz [2]. We present here an improved version of this design, reaching a sensitivity of

10−23W/√Hz. This improvement has been achieved by enhancing the two figures of merit of the

SMPD : The dark count rate (rate of false-positive detection events) and the detection efficiency (probability of successful detection).

[1] Albertinale, E. et al. Nature 600, 434– 438 (2021).

[2] L. Balembois, et al. arXiv :2307.03614.

[3] Z. Wang, et al. Nature 619, 276–281 (2023).

[4] R. Lescanne et al. Phys. Rev. X 10, 021038 (2020).

[5] A. Bienfait et al. Nature 531, 74 (2016).

* We acknowledge support from the European Research Council under grant no. 101042315 (INGENIOUS).

Presenters

  • Louis P Pallegoix

    CEA Saclay

Authors

  • Louis P Pallegoix

    CEA Saclay

  • Emmanuel Flurin

    CEA Saclay

  • Jaime Travesedo

    CEA

  • James O'Sullivan

    CEA Saclay, ETH Zürich

  • Patrice Bertet

    CEA Saclay