Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Takatomo Mihana"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract With the end of Moore’s Law and the increasing demand for computing, photonic accelerators are garnering considerable attention. This is due to the physical characteristics of light, such as high bandwidth and multiplicity, and the various
Externí odkaz:
https://doaj.org/article/46792f77741f462d9c3900f233273138
Publikováno v:
IEEE Access, Vol 12, Pp 18073-18086 (2024)
The effectiveness of laser chaos decision-makers in facilitating ultrafast decision-making makes it possible for a real-time process of channel allocation scheme for the non-orthogonal multiple access (NOMA) technology in the next generation of wirel
Externí odkaz:
https://doaj.org/article/6bd67920bfa9415ba3151d6bc124212a
Publikováno v:
IEEE Access, Vol 11, Pp 65590-65598 (2023)
The importance of multi-valued data transmission for improving communication throughput has become apparent with the explosive growth o communication and computing demands. Although modulation schemes with denser constellations can provide increased
Externí odkaz:
https://doaj.org/article/27370d122b5048cf816514c4c35daa79
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Decision making using photonic technologies has been intensively researched for solving the multi-armed bandit problem, which is fundamental to reinforcement learning. However, these technologies are yet to be extended to large-scale multi-a
Externí odkaz:
https://doaj.org/article/bc3f65d6ff92415c90ecee215710b80c
Autor:
Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
Publikováno v:
Intelligent Computing, Vol 2 (2023)
Recently, extensive studies on photonic reinforcement learning to accelerate the process of calculation by exploiting the physical nature of light have been conducted. Previous studies utilized quantum interference of photons to achieve collective de
Externí odkaz:
https://doaj.org/article/a4aa477b90fe44de954abd0cb6043060
Publikováno v:
Entropy, Vol 25, Iss 8, p 1130 (2023)
Matrix multiplication is important in various information-processing applications, including the computation of eigenvalues and eigenvectors, and in combinatorial optimization algorithms. Therefore, reducing the computation time of matrix products is
Externí odkaz:
https://doaj.org/article/739291fcb120495fbe70d9044c5184ae
Publikováno v:
Entropy, Vol 25, Iss 6, p 843 (2023)
Quantum walks (QWs) have a property that classical random walks (RWs) do not possess—the coexistence of linear spreading and localization—and this property is utilized to implement various kinds of applications. This paper proposes RW- and QW-bas
Externí odkaz:
https://doaj.org/article/5da3ffe862284d2fbc07ddce05705dd1
Autor:
Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Publikováno v:
Entropy, Vol 25, Iss 1, p 146 (2023)
Fully pairing all elements of a set while attempting to maximize the total benefit is a combinatorically difficult problem. Such pairing problems naturally appear in various situations in science, technology, economics, and other fields. In our previ
Externí odkaz:
https://doaj.org/article/f4f663c493a448db9e37dc531f8e9969
Publikováno v:
Complexity, Vol 2018 (2018)
We investigate the effect of a memory parameter on the performance of adaptive decision making using a tug-of-war method with the chaotic oscillatory dynamics of a semiconductor laser. We experimentally generate chaotic temporal waveforms of the semi
Externí odkaz:
https://doaj.org/article/727d0dd5feb24822bc7dbac23150307a
Autor:
André Röhm, Kohei Tsuchiyama, Takatomo Mihana, Ryoichi Horisaki, Daniel J. Gauthier, Ingo Fischer, Makoto Naruse
Publikováno v:
AI and Optical Data Sciences IV.