mlsanityData to 7 Oct 2026

AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications

arXiv 2205.09115 ↗First posted 17 May 2022cs.LG eess.SP quant-phcited by 6

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Abstract (arXiv)

Commercial Wi-Fi devices can be used for integrated sensing and communications (ISAC) to jointly exchange data and monitor indoor environment. In this paper, we investigate a proof-of-concept approach using automated quantum machine learning (AutoQML) framework called AutoAnsatz to recognize human gesture. We address how to efficiently design quantum circuits to configure quantum neural networks (QNN). The effectiveness of AutoQML is validated by an in-house experiment for human pose recognition, achieving state-of-the-art performance greater than 80% accuracy for a limited data size with a significantly small number of trainable parameters.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 14 of its 54 references that are in the map. First posted on arXiv 17 May 2022.

Builds on

14 of 54 references.

References · 14

  1. 2019Optuna: A Next-generation Hyperparameter Optimization Frameworkcited by 2,455
  2. 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,242
  3. 2018Supervised learning with quantum enhanced feature spacescited by 654
  4. 2018Barren plateaus in quantum neural network training landscapescited by 624
  5. 2018Quantum generative adversarial networkscited by 128
  6. 2021QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuitscited by 97
  7. 2021Noisy intermediate-scale quantum (NISQ) algorithmscited by 79
  8. 2018Towards Quantum Machine Learning with Tensor Networkscited by 74
  9. 2019Quantum Graph Neural Networkscited by 66
  10. 2019Person-in-WiFi: Fine-grained Person Perception using WiFicited by 56
  11. 2019Joint Activity Recognition and Indoor Localization with WiFi Fingerprintscited by 19
  12. 2021A Survey on Fundamental Limits of Integrated Sensing and Communicationcited by 19
2 more
  1. 2022Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Frameworkcited by 7
  2. 2019BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysiscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 1.

6 papers.

  1. 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
  2. 2022quEEGNet: Quantum AI for Biosignal Processingcited by 1
  3. 2022Quantum Feature Extraction for THz Multi-Layer Imagingcited by 0
  4. 2024Quantum Diffusion Models for Few-Shot Learningcited by 0
  5. 2025AutoQML: A Framework for Automated Quantum Machine Learningcited by 0
  6. 2026Auto Quantum Machine Learning for Multisource Classificationcited by 0