Year: 2023
Type: article
Abstract: Three key metrics for readout systems in quantum processors are measurement speed, fidelity and footprint. Fast high-fidelity readout enables mid-circuit measurements, a necessary feature for many dynamic algorithms and quantum error correction, while a small footprint facilitates the design of scalable, highly-connected architectures with the associated increase in computing performance. Here, we present two complementary demonstrations of fast high-fidelity single-shot readout of spins in silicon quantum dots using a compact, dispersive charge sensor: a radio-frequency single-electron box. The sensor, despite requiring fewer electrodes than conventional detectors, performs at the state-of-the-art achieving spin read-out fidelity of 99.2% in less than 6 $μ$s. We demonstrate that low-loss high-impedance resonators, highly coupled to the sensing dot, in conjunction with Josephson parametric amplification are instrumental in achieving optimal performance. We quantify the benefit of Pauli spin blockade over spin-dependent tunneling to a reservoir, as the spin-to-charge conversion mechanism in these readout schemes. Our results place dispersive charge sensing at the forefront of readout methodologies for scalable semiconductor spin-based quantum processors.
Source: Physical Review X
Institutions: University of Cambridge, Quantum Motion Technologies (United Kingdom), London Centre for Nanotechnology, University College London, University of Bristol, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d'Électronique des Technologies de l'Information, University of California, Berkeley
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,200
Awards: International network to explore novel superconductivity at advanced oxide superconductor/magnet interfaces and in nanodevices, G3814282712, G5549969633, Quantum technology capital: QUES2T (Quantum Engineering of Solid-state Technologies), EPSRC Hub in Quantum Computing and Simulation, G6442663995
OpenAlex ID: W4221148795
