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

Date released: December 13, 2022


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

    December 8, 2022

  • Description:

    On December 8, 2022, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang gave a 3.5-hour tutorial presentation at the IEEE Global Communications Conference (GLOBECOM). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addressed recent trends, challenges, and advances in sensing and communications. P. Wang presented on use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discussed 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 was conducted remotely. MERL's quantum AI technology was partly reported in the recent press release (https://us.mitsubishielectric.com/en/news/releases/global/2022/1202-a/index.html).

    The IEEE GLOBECOM is a highly anticipated event for researchers and industry professionals in the field of communications. Organized by the IEEE Communications Society, the flagship conference is known for its focus on driving innovation in all aspects of the field. Each year, over 3,000 scientific researchers submit proposals for program sessions at the annual conference. The theme of this year's conference was "Accelerating the Digital Transformation through Smart Communications," and featured a comprehensive technical program with 13 symposia, various tutorials and workshops.

  • External Link:

    https://globecom2022.ieee-globecom.org/program/technical-tutorials

  • MERL Contacts:
  • Research Areas:

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

    •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), 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,
      • 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}
      • }
    •  Yu, J., Pu, W., Koike-Akino, T., Wang, Y., Orlik, P.V., Buehrer, R.M., "Multi-Band Wi-Fi Sensing with Matched Feature Granularity", IEEE Internet of Things Journal, DOI: 10.1109/​JIOT.2022.3190826, July 2022.
      BibTeX TR2022-105 PDF
      • @article{Yu2022jul,
      • author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Buehrer, R. Michael},
      • title = {Multi-Band Wi-Fi Sensing with Matched Feature Granularity},
      • journal = {IEEE Internet of Things Journal},
      • year = 2022,
      • month = jul,
      • doi = {10.1109/JIOT.2022.3190826},
      • issn = {2327-4662},
      • url = {https://www.merl.com/publications/TR2022-105}
      • }
    •  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: 10.48550/​arXiv.2205.09115, 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 = {10.48550/arXiv.2205.09115},
      • 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., Pu, W., 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 Pu, Wang 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}
      • }
    •  Wang, P., Koike-Akino, T., Orlik, P.V., "Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM42002.2020.9348144, December 2020.
      BibTeX TR2020-159 PDF
      • @inproceedings{Wang2020dec,
      • author = {Wang, Pu and Koike-Akino, Toshiaki and Orlik, Philip V.},
      • title = {Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2020,
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GLOBECOM42002.2020.9348144},
      • issn = {2576-6813},
      • isbn = {978-1-7281-8298-8},
      • url = {https://www.merl.com/publications/TR2020-159}
      • }
    •  Yu, J., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., "Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GCWkshps50303.2020.9367535, December 2020.
      BibTeX TR2020-158 PDF
      • @inproceedings{Yu2020dec,
      • author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V.},
      • title = {Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2020,
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/GCWkshps50303.2020.9367535},
      • isbn = {978-1-7281-7307-8},
      • url = {https://www.merl.com/publications/TR2020-158}
      • }
    •  Koike-Akino, T., Wang, P., Pajovic, M., Sun, H., Orlik, P.V., "Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: A Deep Learning Approach", IEEE Access, DOI: 10.1109/​ACCESS.2020.2991129, April 2020.
      BibTeX TR2020-054 PDF Data
      • @article{Koike-Akino2020apr,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Pajovic, Milutin and Sun, Haijian and Orlik, Philip V.},
      • title = {Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: A Deep Learning Approach},
      • journal = {IEEE Access},
      • year = 2020,
      • month = apr,
      • doi = {10.1109/ACCESS.2020.2991129},
      • issn = {2169-3536},
      • url = {https://www.merl.com/publications/TR2020-054}
      • }
    •  Koike-Akino, T., Matsumine, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM", Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC), DOI: 10.1364/​OFC.2020.T3D.6, March 2020, pp. T3D.6.
      BibTeX TR2020-028 PDF Video Presentation
      • @inproceedings{Koike-Akino2020mar2,
      • author = {Koike-Akino, Toshiaki and Matsumine, Toshiki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM},
      • booktitle = {Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC)},
      • year = 2020,
      • pages = {T3D.6},
      • month = mar,
      • publisher = {OSA},
      • doi = {10.1364/OFC.2020.T3D.6},
      • isbn = {978-1-943580-71-2},
      • url = {https://www.merl.com/publications/TR2020-028}
      • }