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ORCIDTakatomo Mihana
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2020 – today
- 2024
[j6]Masaki Sugiyama
, Takatomo Mihana, Aohan Li, Makoto Naruse, Mikio Hasegawa:
Ultrafast Resource Allocation by Parallel Bandit Architecture Using Chaotic Lasers for Downlink NOMA Systems. IEEE Access 12: 18073-18086 (2024)- [i12]Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki:
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network. CoRR abs/2407.09124 (2024) - 2023
- [j5]Toshiki Ishimaru, Takatomo Mihana, Michihiro Koibuchi, Tetsuya Kawanishi, Makoto Naruse:
Experimental Demonstration of Approximate Communication Based on Radio-Over- Fiber Systems. IEEE Access 11: 65590-65598 (2023) - [j4]Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse:
Pairing Optimization via Statistics: Algebraic Structure in Pairing Problems and Its Application to Performance Enhancement. Entropy 25(1): 146 (2023) - [j3]Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. Entropy 25(6): 843 (2023) - [j2]Takuya Okuyama, André Röhm, Takatomo Mihana, Makoto Naruse:
Acceleration of Approximate Matrix Multiplications on GPUs. Entropy 25(8): 1130 (2023) - [i11]Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse:
Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing. CoRR abs/2302.10761 (2023) - [i10]Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk. CoRR abs/2304.10118 (2023) - [i9]Hisako Ito, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse:
Conflict-free joint decision by lag and zero-lag synchronization in laser network. CoRR abs/2307.15373 (2023) - [i8]Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network. CoRR abs/2312.02537 (2023) - 2022
- [c2]Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, Atsushi Uchida:
Photonic Decision Making by Chaotic Mode Dynamics in Multi-mode Semiconductor Laser with Optical Feedback. OECC/PSC 2022: 1-3 - [c1]Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, Atsushi Uchida:
Photonic Decision Making for Solving Bandit Problem Using Laser Network. OECC/PSC 2022: 1-3 - [i7]Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno, Satoshi Sunada, Makoto Naruse, Atsushi Uchida:
Controlling chaotic itinerancy in laser dynamics for reinforcement learning. CoRR abs/2205.05987 (2022) - [i6]Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse:
Conflict-free joint sampling for preference satisfaction through quantum interference. CoRR abs/2208.03082 (2022) - [i5]Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse:
Skeleton structure inherent in discrete-time quantum walks. CoRR abs/2209.02943 (2022) - [i4]Kensei Morijiri, Kento Takehana, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, Atsushi Uchida:
Parallel photonic accelerator for decision making using optical spatiotemporal chaos. CoRR abs/2210.06976 (2022) - [i3]Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse:
Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement. CoRR abs/2211.01661 (2022) - [i2]Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse:
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation. CoRR abs/2212.09926 (2022)
2010 – 2019
- 2018
- [j1]Takatomo Mihana, Yuta Terashima, Makoto Naruse, Song-Ju Kim, Atsushi Uchida:
Memory Effect on Adaptive Decision Making with a Chaotic Semiconductor Laser. Complex. 2018: 4318127:1-4318127:8 (2018) - [i1]Makoto Naruse, Takatomo Mihana, Hirokazu Hori, Hayato Saigo, Kazuya Okamura, Mikio Hasegawa, Atsushi Uchida:
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos. CoRR abs/1803.09425 (2018)
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