Yudai Suzuki

According to our database, Yudai Suzuki authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows.

Kosuke Ito, Akira Tanji, Hiroshi Yano, Yudai Suzuki, Naoki Yamamoto

CoRR, March, 2026

An Ising machine formulation for design updates in topology optimization of flow channels.

Yudai Suzuki, Shiori Aoki, Fabian Key, Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Marek Behr, Mayu Muramatsu

Eng. Comput., February, 2026

2025

Role of scrambling and noise in temporal information processing with quantum systems.

Weijie Xiong, Zoë Holmes, Armando Angrisani, Yudai Suzuki, Thiparat Chotibut, Supanut Thanasilp

CoRR, May, 2025

Double-bracket algorithm for quantum signal processing without post-selection.

Yudai Suzuki, Bi Hong Tiang, Jeongrak Son, Nelly H. Y. Ng, Zoë Holmes, Marek Gluza

Quantum, 2025

Studies on Partial Impredicativity in Formal Systems of Arithmetic and Computability Theory.

Yudai Suzuki

Bull. Symb. Log., 2025

A ConvMixer-based Inter-Radar Interference Mitigation Approach for automotive mmWave Radar.

Yudai Suzuki, Xiaoyan Wang, Masahiro Umehira, Hao Zhou

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Inter-radar Interference Mitigation via Self-attention Augmented biGRU and Customized Loss Functions.

Yudai Suzuki, Xiaoyan Wang, Masahiro Umehira, Hao Zhou

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Interference Mitigation in Automotive mmWave Radar Systems Using a Complex-Valued ConvMixer.

Yudai Suzuki, Xiaoyan Wang, Lin Shan, Masahiro Umehira

Proceedings of the 8th International Conference on Advanced Communication Technologies and Networking, 2025

2024

Searching problems above arithmetical transfinite recursion.

Yudai Suzuki, Keita Yokoyama

Ann. Pure Appl. Log., 2024

2023

Enhancing VQE Convergence for Optimization Problems with Problem-Specific Parameterized Quantum Circuits.

Atsushi Matsuo, Yudai Suzuki, Ikko Hamamura, Shigeru Yamashita

IEICE Trans. Inf. Syst., November, 2023

2022

Quantum Noise-Induced Reservoir Computing.

Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi, Quoc-Hoan Tran, Naoki Yamamoto, Kohei Nakajima

CoRR, 2022

2021

Normalized Gradient Descent for Variational Quantum Algorithms.

Yudai Suzuki, Hiroshi Yano, Rudy Raymond, Naoki Yamamoto

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2020

Analysis and synthesis of feature map for kernel-based quantum classifier.

Yudai Suzuki, Hiroshi Yano, Qi Gao, Shumpei Uno, Tomoki Tanaka, Manato Akiyama, Naoki Yamamoto

Quantum Mach. Intell., 2020

An Automatic Team Evaluation System for RoboCup Soccer Simulation 2D.

Ryota Kuga, Yudai Suzuki, Tomoharu Nakashima

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

Efficient Discrete Feature Encoding for Variational Quantum Classifier.

Hiroshi Yano, Yudai Suzuki, Rudy Raymond, Naoki Yamamoto

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

2019

Applying FOSSE Approach to Image Data for Evaluating Game Situations.

Yudai Suzuki, Tomoharu Nakashima

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

On the Use of Simulated Future Information for Evaluating Game Situations.

Yudai Suzuki, Tomoharu Nakashima

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

Game-Watching Should be More Entertaining: Real-Time Application of Field-Situation Prediction to a Soccer Monitor.

Yudai Suzuki, Takuya Fukushima, Léa Thibout, Tomoharu Nakashima, Hidehisa Akiyama

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

2018

HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion.

Hidehisa Akiyama, Tomoharu Nakashima, Takuya Fukushima, Jiarun Zhong, Yudai Suzuki, An Ohori

Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018

2017

Toward effective noise reduction for sub-Nyquist high-frame-rate MRI techniques with deep learning.

Yudai Suzuki, Keigo Kawaji, Amit R. Patel, Satoshi Tamura, Satoru Hayamizu

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017