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6CCVD Research

Deep learning enhanced noise spectroscopy of a spin qubit environment

At a Glance

Section titled ā€œAt a Glanceā€
MetadataDetails
Publication Date2023-05-04
JournalMachine Learning Science and Technology
AuthorsStefano Martina, Santiago HernĆ”ndez-GĆ³mez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri
InstitutionsUniversity of Florence, AREA Science Park
Citations15

Abstract

Section titled ā€œAbstractā€

Abstract The undesired interaction of a quantum system with its environment generally leads to a coherence decay of superposition states in time. A precise knowledge of the spectral content of the noise induced by the environment is crucial to protect qubit coherence and optimize its employment in quantum device applications. We experimentally show that the use of neural networks (NNs) can highly increase the accuracy of noise spectroscopy, by reconstructing the power spectral density that characterizes an ensemble of carbon impurities around a nitrogen-vacancy (NV) center in diamond. NNs are trained over spin coherence functions of the NV center subjected to different Carr-Purcell sequences, typically used for dynamical decoupling (DD). As a result, we determine that deep learning models can be more accurate than standard DD noise-spectroscopy techniques, by requiring at the same time a much smaller number of DD sequences.

Tech Support

Section titled ā€œTech Supportā€

Original Source

Section titled ā€œOriginal Sourceā€

References

Section titled ā€œReferencesā€
  1. 2017 - Quantum sensing [Crossref]
  2. 2021 - Quantum control for nanoscale spectroscopy with diamond nitrogen-vacancy centers: a short review [Crossref]
  3. 2018 - Optimal control for one-qubit quantum sensing [Crossref]
  4. 2018 - Noise-robust quantum sensing via optimal multi-probe spectroscopy [Crossref]
  5. 2020 - Introduction to quantum optimal control for quantum sensing with nitrogen-vacancy centers in diamond [Crossref]
  6. 2022 - Macroscopic hyperpolarization enhanced with quantum optimal control [Crossref]
  7. 2023 - Coupling-selective quantum optimal control in weak-coupling NV-13 C system [Crossref]
  8. 2020 - Characterization and control of open quantum systems beyond quantum noise spectroscopy [Crossref]

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