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Robust and Fast Post-processing of Single-shot Spin Qubit Detection Events with a Neural Network by Struck, Tom (author);Lindner, Javed (author);Hollmann, Arne (author);Schauer, Floyd (author);Schmidbauer, Andreas (author);Bougeard, Dominique (author);Schreiber, Lars R. (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Robust and Fast Post-processing of Single-shot Spin Qubit Detection Events with a Neural Network about?

Establishing low-error and fast detection methods for qubit readout is crucial for efficient quantum error correction. Here, we test neural networks to classify a collection of single-shot spin detection events, which are the readout signal of our qubit measurements. This readout signal contains a stochastic peak, for which a Bayesian inference filter including Gaussian noise is theoretically optimal. Hence, we benchmark our neural networks trained by various strategies versus this latter algorithm. Training of the network with 10^6^ experimentally recorded single-shot readout traces does not improve the post-processing performance. A network trained by synthetically generated measurement traces performs similar in terms of the detection error and the post-processing speed compared to the Bayesian inference filter. This neural network turns out to be more robust to fluctuations in the signal offset, length and delay as well as in the signal-to-noise ratio. Notably, we find an increase of 7% in the visibility of the Rabi oscillation when we employ a network trained by synthetic readout traces combined with measured signal noise of our setup. Our contribution thus represents an examp

Who reads Robust and Fast Post-processing of Single-shot Spin Qubit Detection Events with a Neural Network?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Struck, Tom (author);Lindner, Javed (author);Hollmann, Arne (author);Schauer, Floyd (author);Schmidbauer, Andreas (author);Bougeard, Dominique (author);Schreiber, Lars R. (author)
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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