NEWS    MERL Researchers give a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE VCC

Date released: November 21, 2023


  •  NEWS    MERL Researchers give a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE VCC
  • Date:

    November 28, 2023 - November 30, 2023

  • Where:

    Virtual

  • Description:

    On November 28, 2023, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang will give a 3-hour tutorial presentation at the first IEEE Virtual Conference on Communications (VCC). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addresses recent trends, challenges, and advances in sensing and communications. P. Wang presents use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discusses the future of deep learning, giving a comprehensive overview of artificial intelligence (AI) technologies, natural computing, emerging quantum AI, and their diverse applications. The tutorial is conducted virtually.

    IEEE VCC is a new fully virtual conference launched from the IEEE Communications Society, gathering researchers from academia and industry who are unable to travel but wish to present their recent scientific results and engage in conducive interactive discussions with fellow researchers working in their fields. It is designed to resolve potential hardship such as pandemic restrictions, visa issues, travel problems, or financial difficulties.

  • External Link:

    https://vcc2023.ieee-vcc.org/program/tutorials

  • MERL Contacts:
  • Research Areas:

    Artificial Intelligence, Communications, Computational Sensing, Machine Learning, Signal Processing

    •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs", International Midwest Symposium on Circuits and Systems (MWSCAS), August 2023.
      BibTeX TR2023-097 PDF
      • @inproceedings{Ahmed2023aug2,
      • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
      • title = {AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs},
      • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
      • year = 2023,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2023-097}
      • }
    •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), DOI: 10.1109/​BHI56158.2022.9926814, September 2022.
      BibTeX TR2022-121 PDF Video Presentation
      • @inproceedings{Koike-Akino2022sep,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {quEEGNet: Quantum AI for Biosignal Processing},
      • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
      • year = 2022,
      • month = sep,
      • publisher = {IEEE},
      • doi = {10.1109/BHI56158.2022.9926814},
      • issn = {2641-3604},
      • isbn = {978-1-6654-8791-7},
      • url = {https://www.merl.com/publications/TR2022-121}
      • }
    •  Koike-Akino, T., Wang, P., Yamashita, G., Tsujita, W., Nakajima, M., "Quantum Feature Extraction for THz Multi-Layer Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50927.2022.9896037, August 2022.
      BibTeX TR2022-110 PDF Video Presentation
      • @inproceedings{Koike-Akino2022aug,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
      • title = {Quantum Feature Extraction for THz Multi-Layer Imaging},
      • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
      • year = 2022,
      • month = aug,
      • publisher = {IEEE},
      • doi = {10.1109/IRMMW-THz50927.2022.9896037},
      • issn = {2162-2035},
      • isbn = {978-1-7281-9427-1},
      • url = {https://www.merl.com/publications/TR2022-110}
      • }
    •  Koike-Akino, T., Wang, P., Wang, Y., "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/​SAM53842.2022.9827846, June 2022.
      BibTeX TR2022-068 PDF Video Presentation
      • @inproceedings{Koike-Akino2022jun,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
      • title = {AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications},
      • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
      • year = 2022,
      • month = jun,
      • doi = {10.1109/SAM53842.2022.9827846},
      • url = {https://www.merl.com/publications/TR2022-068}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9838445, May 2022.
      BibTeX TR2022-052 PDF Video Presentation
      • @inproceedings{Liu2022may3,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICC45855.2022.9838445},
      • issn = {1938-1883},
      • isbn = {978-1-5386-8347-7},
      • url = {https://www.merl.com/publications/TR2022-052}
      • }
    •  Koike-Akino, T., Wang, P., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9839011, May 2022.
      BibTeX TR2022-044 PDF Video Presentation
      • @inproceedings{Koike-Akino2022may2,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
      • title = {Quantum Transfer Learning for Wi-Fi Sensing},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • doi = {10.1109/ICC45855.2022.9839011},
      • issn = {1938-1883},
      • isbn = {978-1-5386-8347-7},
      • url = {https://www.merl.com/publications/TR2022-044}
      • }