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).
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