activity
20092019
most citedOptimization of photonic crystal nanocavities based on deep learning

235 citations · 356 across the 5 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2019★ 64 cited

Iterative optimization of photonic crystal nanocavity designs by using deep neural networks

Takashi Asano, Susumu Noda

Devices based on two-dimensional photonic-crystal (2D-PC) nanocavities, which are defined by their air hole patterns, usually require a high quality (Q) factor to achieve high perf…

physics.app-ph2019★ 2 cited

High-efficiency thermophotovoltaic system that employs an emitter based on a silicon rod-type photonic crystal

Masahiro Suemitsu, Takashi Asano, Takuya Inoue +1

Thermophotovoltaic systems in principle enable utilization of heat that is usually regarded as wasted energy. However, the wavelength selectivity of the thermal emitter required fo…

physics.comp-ph2018★ 235 cited

Optimization of photonic crystal nanocavities based on deep learning

Takashi Asano, Susumu Noda

An approach to optimizing the Q factors of two-dimensional photonic crystal (2D-PC) nanocavities based on deep learning is proposed and demonstrated. We prepare a dataset consistin…

quant-ph2011★ 4 cited

Photonic Quantum Computation with Waveguide-Linked Optical Cavities and Quantum Dots

Makoto Yamaguchi, Takashi Asano, Yoshiya Sato +1

We propose a new scheme for solid-state photonic quantum computation in which trapped photons in optical cavities are taken as a quantum bit. Quantum gates can be realized by coupl…

quant-ph2009★ 51 cited

Quantum Electrodynamics of a Nanocavity Coupled with Exciton Complexes in a Quantum Dot

Makoto Yamaguchi, Takashi Asano, Kazunobu Kojima +1

Here, a comprehensive theory of the couplings between a nanocavity and exciton complexes in a quantum dot is developed, which successfully predicts the spectral triplet in the stro…