mlsanityData to 7 Oct 2026

Learning the noise fingerprint of quantum devices

arXiv 2109.11405 ↗First posted 23 Sep 2021quant-ph cs.AI cs.LGcited by 12

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Abstract (arXiv)

Noise sources unavoidably affect any quantum technological device. Noise's main features are expected to strictly depend on the physical platform on which the quantum device is realized, in the form of a distinguishable fingerprint. Noise sources are also expected to evolve and change over time. Here, we first identify and then characterize experimentally the noise fingerprint of IBM cloud-available quantum computers, by resorting to machine learning techniques designed to classify noise distributions using time-ordered sequences of measured outcome probabilities.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 2 of its 43 references that are in the map. First posted on arXiv 23 Sep 2021.

Builds on

2 of 43 references.

References · 2

  1. 2021Noisy intermediate-scale quantum (NISQ) algorithmscited by 79
  2. 2019Learning Non-Markovian Quantum Noise from Moir'e-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithmcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 4; 2024: 3; 2025: 1; 2026: 1.

12 papers.

  1. 2023Quantum-Noise-Driven Generative Diffusion Modelscited by 20
  2. 2022Experimental quantum pattern recognition in IBMQ and diamond NVscited by 8
  3. 2023Deep learning enhanced noise spectroscopy of a spin qubit environmentcited by 6
  4. 2023The role of data embedding in equivariant quantum convolutional neural networkscited by 4
  5. 2022Noise fingerprints in quantum computers: Machine learning software toolscited by 3
  6. 2023Machine-learning based noise characterization and correction on neutral atoms NISQ devicescited by 3
  7. 2024Machine-learning based high-bandwidth magnetic sensingcited by 1
  8. 2021Computing Graph Edit Distance with Algorithms on Quantum Devicescited by 0
  9. 2024Estimating the Effect of Crosstalk Error on Circuit Fidelity Using Noisy Intermediate-Scale Quantum Devicescited by 0
  10. 2024A short review on the maximum clique problem algorithms with classical, AI, and quantum methodscited by 0
  11. 2025Assumption-free fidelity bounds for hardware noise characterizationcited by 0
  12. 2026Quantum Diffusion Models for Medical Image Analysiscited by 0