NEWS Toshiaki Koike-Akino to give a tutorial talk at ISIT 2025 Quantum Hackathon

Date released: June 13, 2025

NEWS Toshiaki Koike-Akino to give a tutorial talk at ISIT 2025 Quantum Hackathon
Date:

June 22, 2025
Where:

IEEE International Symposium on Information Theory (ISIT)
Description:

Toshiaki Koike-Akino is invited to present a tutorial talk at IEEE ISIT 2025 Quantum Hackathon, to be held at Ann Arbor, Michigan, USA. The talk, entitled "Emerging Quantum AI Technology", will discuss the recent trends, challenges, and applications of quantum artificial intelligence (QAI) technologies.

The ISIT 2025 Quantum Hackathon invites participants to explore the intersection of quantum computing and information theory. Participants will work with quantum simulators, available quantum hardware, and state-of-the-art development kits to create innovative solutions that connect quantum advancements with challenges in communication and signal processing.

The IEEE International Symposium on Information Theory (ISIT) is the flagship conference of the IEEE Information Theory Society. The symposium centers around the presentation in all of the areas of information theory, including source and channel coding, communication theory and systems, cryptography and security, detection and estimation, networks, pattern recognition and learning, statistics, stochastic processes and complexity, and signal processing.
External Link:

https://2025.ieee-isit.org/quantum-hackathon
MERL Contact:
- Toshiaki
  Koike-Akino
Research Areas:

Artificial Intelligence, Communications, Data Analytics, Machine Learning, Optimization, Signal Processing, Human-Computer Interaction, Information Security
- Related Publications
  Koike-Akino, T., Tonin, F., Wu, Y., Wu, F.Z., Candogan, L.N., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Learning Representations (ICLR), April 2025.
  BibTeX TR2025-051 PDF
  @inproceedings{Koike-Akino2025apr,
  author = {Koike-Akino, Toshiaki and Tonin,Francesco and Wu,Yongtao and Wu,Frank Zhengqing and Candogan,Leyla Naz and Cevher, Volkan},
  title = {{Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = 2025,
  month = apr,
  url = {https://www.merl.com/publications/TR2025-051}
  }
  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", AAAI Conference on Artificial Intelligence, March 2025.
  BibTeX TR2025-025 PDF
  @inproceedings{Wang2025mar,
  author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki},
  title = {{Quantum Diffusion Models for Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year = 2025,
  month = mar,
  url = {https://www.merl.com/publications/TR2025-025}
  }
  Fujihashi, T., Koike-Akino, T., "Quantum Implicit Neural Compression", AAAI Conference on Artificial Intelligence, March 2025.
  BibTeX TR2025-024 PDF
  @inproceedings{Fujihashi2025mar,
  author = {Fujihashi, Takuya and Koike-Akino, Toshiaki},
  title = {{Quantum Implicit Neural Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year = 2025,
  month = mar,
  url = {https://www.merl.com/publications/TR2025-024}
  }
  Koike-Akino, T., Kojima, K., Taguchi, M., "Enhancement of data reuploading for photonic neural computing without nonliear optical components", SPIE Photonics West, DOI: 10.1117/12.3042431, January 2025.
  BibTeX TR2025-013 PDF
  @inproceedings{Koike-Akino2025jan,
  author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Taguchi, Mari},
  title = {{Enhancement of data reuploading for photonic neural computing without nonliear optical components}},
  booktitle = {SPIE Photonics West},
  year = 2025,
  month = jan,
  publisher = {SPIE},
  doi = {10.1117/12.3042431},
  url = {https://www.merl.com/publications/TR2025-013}
  }
  Koike-Akino, T., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Machine Learning (ICML), July 2024.
  BibTeX TR2024-101 PDF Presentation
  @inproceedings{Koike-Akino2024jul,
  author = {Koike-Akino, Toshiaki and Cevher, Volkan},
  title = {{Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 2024,
  month = jul,
  url = {https://www.merl.com/publications/TR2024-101}
  }
  Kojima, K., Koike-Akino, T., "Universal Photonic Neural Networks with Quantum-Free Data Reuploading", SPIE Photonics for Quantum, DOI: 10.1117/12.3023231, June 2024.
  BibTeX TR2024-074 PDF
  @inproceedings{Kojima2024jun,
  author = {Kojima, Keisuke and Koike-Akino, Toshiaki},
  title = {{Universal Photonic Neural Networks with Quantum-Free Data Reuploading}},
  booktitle = {SPIE Photonics for Quantum},
  year = 2024,
  month = jun,
  publisher = {SPIE},
  doi = {10.1117/12.3023231},
  url = {https://www.merl.com/publications/TR2024-074}
  }
  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}
  }

Date:

Where:

Description:

External Link:

MERL Contact:

ToshiakiKoike-Akino

Research Areas:

Toshiaki
Koike-Akino