| Literature DB >> 35102197 |
Thomas Luschmann1,2,3, Philip Schmidt4,5,6, Frank Deppe4,5,7, Achim Marx4, Alvaro Sanchez8, Rudolf Gross4,5,7, Hans Huebl9,10,11.
Abstract
Nano-electromechanical systems implement the opto-mechanical interaction combining electromagnetic circuits and mechanical elements. We investigate an inductively coupled nano-electromechanical system, where a superconducting quantum interference device (SQUID) realizes the coupling. We show that the resonance frequency of the mechanically compliant string embedded into the SQUID loop can be controlled in two different ways: (1) the bias magnetic flux applied perpendicular to the SQUID loop, (2) the magnitude of the in-plane bias magnetic field contributing to the nano-electromechanical coupling. These findings are quantitatively explained by the inductive interaction contributing to the effective spring constant of the mechanical resonator. In addition, we observe a residual field dependent shift of the mechanical resonance frequency, which we attribute to the finite flux pinning of vortices trapped in the magnetic field biased nanostring.Entities:
Year: 2022 PMID: 35102197 PMCID: PMC8803975 DOI: 10.1038/s41598-022-05438-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Device layout and schematic. (a) optical micrograph image of the coplanar-waveguide resonator coupled to a feedline (top) and short-circuited to ground via a flux-dependent inductance formed by a dc-SQUID (orange box). (b) Magnified view of the dc-SQUID with freely suspended strings. (c) Tilted scanning electron micrograph image of a suspended SQUID structure similar to the one used in this work. Note that the actual device features nanostrings of length. (d) Equivalent circuit representation of the device. The CPW resonator is described by means of an effective capacitance C and inductance L, forming an LC-oscillator. Additionally, the circuit contains a dynamic inductance (orange), whose magnitude depends on the time-varying displacement x(t) of the mechanical element. (e) Illustration of the SQUID with incorporated nanostrings and relevant magnetic field directions. The shading illustrates how the motion of the nanostring modulates the flux-threaded area of the SQUID-loop due to an in-plane magnetic field .
Figure 2Characterization of the electromechanical circuit. (a) Calibrated microwave transmission magnitude as a function of the normalized applied magnetic flux. The flux-dependent inductance of the circuit allows for the adjustment of the resonance frequency from 7.45 to 6.6 GHz. A parasitic resonance is visible around 7.3 GHz. Colored dashed reference lines correspond to the flux bias points at which the mechanical resonance frequency is analyzed in detail. (b) Overview of the relevant frequencies and microwave tones used in the measurement. For the determination of the mechanical resonance frequency we perform spectral analysis of the anti-Stokes field. (c) Voltage power spectral density of the demodulated probe tone, analyzed around its anti-Stokes peak at various flux bias points (see labels next to the data trace) for a fixed in-plane field of . The spectra are offset by each for clarity. The Lorentz-shaped mechanical resonance features shift to higher frequencies by roughly 1 kHz as the normalized flux bias is decreased.
Figure 3Flux- and field-dependence of the mechanical resonance frequency. Extracted mechanical resonance frequency as a function of the applied bias flux through the SQUID loop, measured at different in-plane fields ranging from 6.2 to 35 mT. Open circles correspond to data gathered by measurement of the thermal motion, while triangular data points are acquired with a piezoelectric actuator resonantly driving the mechanical motion. Lines are fits to the data according to Eq. (2) with and as the only free fit parameters. The inset shows as a function of the applied in-plane field as extracted from the fits as well as a power-law fit (black line) revealing . The increase suggests an additional contribution not included in the presented model and is discussed in the main text. Statistical error bars are smaller than the symbol size.