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Fourier Transform Noise Spectroscopy
Physicsnpj Quantum Information

Fourier Transform Noise Spectroscopy

A. Vezvaee, N. Shitara, et al.

Dive into the innovative world of quantum technologies with groundbreaking research conducted by Arian Vezvaee, Nanako Shitara, Shuo Sun, and Andrés Montoya-Castillo. Explore how Fourier transform noise spectroscopy simplifies and enhances noise characterization for qubit decoherence, potentially revolutionizing quantum device characterization and error mitigation.... show more
Abstract
Spectral characterization of noise environments that lead to the decoherence of qubits is critical to developing robust quantum technologies. While dynamical decoupling offers one of the most successful approaches to characterize noise spectra, it necessitates applying large sequences of π pulses that increase the complexity and cost of the method. Here, we introduce a noise spectroscopy method that utilizes only the Fourier transform of free induction decay or spin echo measurements, thus removing the need for the application many π pulses. We show that our method faithfully recovers the correct noise spectra for a variety of different environments (including 1/f-type noise) and outperforms previous dynamical decoupling schemes while significantly reducing their experimental overhead. We also discuss the experimental feasibility of our proposal and demonstrate its robustness in the presence of statistical measurement error. Our method is applicable to a wide range of quantum platforms and provides a simpler path toward a more accurate spectral characterization of quantum devices, thus offering possibilities for tailored decoherence mitigation.
Publisher
npj Quantum Information
Published On
May 17, 2024
Authors
Arian Vezvaee, Nanako Shitara, Shuo Sun, Andrés Montoya-Castillo
Tags
quantum technologiesqubit decoherencenoise spectroscopydynamical decouplingFourier transformsmeasurement errorsexperimental overhead
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