2018
DOI: 10.1103/physrevapplied.10.014018
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Radio-Frequency Capacitive Gate-Based Sensing

Abstract: Developing fast, accurate and scalable techniques for quantum state readout is an active area in semiconductor-based quantum computing. Here, we present results on dispersive sensing of silicon corner state quantum dots coupled to lumped-element electrical resonators via the gate. The gate capacitance of the quantum device is configured in parallel with a superconducting spiral inductor resulting in resonators with loaded Q-factors in the 400-800 range. For a resonator operating at 330 MHz, we achieve a charge… Show more

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Cited by 71 publications
(71 citation statements)
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“…The detection of electron tunnelling using radiofrequency (rf) reflectometry has been demonstrated in a variety of quantum dot architectures [9][10][11][12][13][14][15]. By detecting shifts in the phase of the reflected signal, this technique can approach the sensitivity of state of the art charge sensors.…”
mentioning
confidence: 99%
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“…The detection of electron tunnelling using radiofrequency (rf) reflectometry has been demonstrated in a variety of quantum dot architectures [9][10][11][12][13][14][15]. By detecting shifts in the phase of the reflected signal, this technique can approach the sensitivity of state of the art charge sensors.…”
mentioning
confidence: 99%
“…This would increase the observed phase shift eight-fold, resulting in an average gate-based spin readout fidelity exceeding 99% (Methods). Further improvements can be obtained using optimised external matching techniques [15] or parametric amplification. Moreover, we emphasise that even if an on-chip electrometer outperforms a gate-based solution in terms of readout sensitivity, its benefits must be weighed against the added complexity as the number of qubits is increased.…”
mentioning
confidence: 99%
“…To measure the parametric capacitance of the DQD, we employ radiofrequency (RF) reflectometry by interfacing the transistor with an electrical LC resonator with a resonance frequency ω r /2π = 313 MHz and a loaded quality factor Q ∼ 40. The resonator is coupled to the DQD via the top gate for high-sensitivity dispersive readout [43][44][45][46][47] and consists of a surface mount inductor, L = 390 nH, and the parasitic capacitance to ground of the device, C p = 660 fF. Changes in device capacitance manifest as changes in resonant frequency (ω r = 1/ L(C p + C pm )) that we detect using lownoise cryogenic and room-temperature amplification, combined with homodyne detection.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, we note when applying this proposed architecture to particular qubit implementations, where small voltage drifts may induce undesired effects such as unwanted decoherence, further optimization could be necessary to find an optimal trade off between voltage noise, retention time and power dissipation depending on the cell's capacitance. Finally, we note that the signal-to-noise of gate-based readout -limited by the quality factor of the resonant circuit -could be improved by using superconducting spiral inductors [39]. There is a potential for such inductors to be made CMOS compatible using TiN allowing on-chip integration.…”
Section: Discussion: Scaling Up the Architecturementioning
confidence: 98%