Dr. Tatsuhiro Onodera Profile

Dr. Tatsuhiro Onodera

at NTT Research

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 3 October 2024 Presentation

A fully programmable two-dimensional photonic chip for machine learning

Tatsuhiro Onodera, Martin Stein, Benjamin Ash, Mandar Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy McKenna, Tianyu Wang, Gennady Shvets, Logan Wright, Peter McMahon

Proceedings Volume PC13113, PC1311303 (2024) https://doi.org/10.1117/12.3029903

KEYWORDS: Machine learning

Read Abstract +

Proceedings Article | 18 June 2024 Presentation + Paper

Arbitrarily programmable wave propagation on a photonic chip

Martin Stein, Tatsuhiro Onodera, Benjamin Ash, Mandar Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy McKenna, Tianyu Wang, Gennady Shvets, Maxim Shcherbakov, Logan Wright, Peter McMahon

Proceedings Volume 13017, 130170M (2024) https://doi.org/10.1117/12.3017660

KEYWORDS: Waveguides, Wave propagation, Education and training, Neural networks, Lithium niobate, Modulation, Optics manufacturing, Integrated photonics, Integrated optics, Photonic devices

Read Abstract +

Proceedings Article | 13 March 2024 Presentation

Machine learning with complex wave propagation in inverse-designed photonic device

Tatsuhiro Onodera, Martin Stein, Benjamin Ash, Logan Wright, Peter McMahon

Proceedings Volume PC12903, PC1290303 (2024) https://doi.org/10.1117/12.3002762

KEYWORDS: Machine learning, Wave propagation, Photonic devices, Waveguides, Refractive index, Electro optics, Simulations, Optoelectronics, Nonlinear optical materials, Measurement devices

Read Abstract +

Proceedings Article | 13 March 2024 Poster

A fully programmable on-chip planar waveguide for machine learning

Martin Stein, Tatsuhiro Onodera, Benjamin Ash, Mandar Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy McKenna, Tianyu Wang, Gennady Shvets, Maxim Shcherbakov, Logan Wright, Peter McMahon

Proceedings Volume PC12903, PC1290311 (2024) https://doi.org/10.1117/12.3025749

Read Abstract +

Proceedings Article | 28 September 2023 Presentation

Hardware-efficient large-scale reconfigurable optical neural network (ONN) using complex media

Fei Xia, Ziao Wang, Logan Wright, Tatsuhiro Onodera, Martin Stein, Jianqi Hu, Peter McMahon, Sylvain Gigan

Proceedings Volume PC12655, PC1265513 (2023) https://doi.org/10.1117/12.2671028

KEYWORDS: Neural networks, Education and training, Nonlinear optics, Design and modelling, Cameras

Read Abstract +

Proceedings Article | 28 September 2023 Presentation

Analog photonic neural networks for large-scale AI at the quantum limit

Logan Wright, Peter McMahon, Tatsuhiro Onodera, Tianyu Wang

Proceedings Volume PC12655, PC1265510 (2023) https://doi.org/10.1117/12.2680563

KEYWORDS: Neural networks, Analog electronics, Quantum limits, Artificial intelligence, Education and training, Transformers, Quantum shot noise, Photons, Computing systems, Quantum sensing

Read Abstract +

Proceedings Article | 19 April 2023 Presentation

Applications of digital micromirror devices in photonic neural networks

Tianyu Wang, Mandar Sohoni, Shi-Yuan Ma, Logan Wright, Tatsuhiro Onodera, Martin Stein, Maxwell Anderson, Brian Richard, Peter McMahon

Proceedings Volume PC12435, PC1243501 (2023) https://doi.org/10.1117/12.2649385

KEYWORDS: Neural networks, Digital micromirror devices, Photonic microstructures, Photonic devices, Visualization, Signal processing, Phase modulation, Liquid crystals, Image processing, Convolution

Read Abstract +

Proceedings Article | 17 March 2023 Presentation

Deep physical neural networks based on ultrafast nonlinear optics

Tatsuhiro Onodera, Logan Wright, Martin Stein, Tianyu Wang, Darren Schachter, Zoey Hu, Peter McMahon

Proceedings Volume PC12438, PC124380H (2023) https://doi.org/10.1117/12.2648103

KEYWORDS: Neural networks, Ultrafast phenomena, Nonlinear optics, Image classification, Analog electronics, Ultrafast imaging, Oscillators, Evolutionary algorithms, Electronic circuits, Control systems

Read Abstract +

Proceedings Article | 17 March 2023 Presentation

Image sensing with multilayer nonlinear optical neural networks

Tianyu Wang, Mandar Sohoni, Logan Wright, Tatsuhiro Onodera, Shi-Yuan Ma, Maxwell Anderson, Peter McMahon

Proceedings Volume PC12438, PC124380M (2023) https://doi.org/10.1117/12.2650289

KEYWORDS: Neural networks, Nonlinear optics, Computer programming, Machine vision, Image compression, Image sensors, Image classification, Surgery, Scene classification, Photons

Read Abstract +

Proceedings Article | 15 March 2023 Presentation + Paper

Hardware-efficient, large-scale reconfigurable optical neural network (ONN) with backpropagation

Fei Xia, Ziao Wang, Logan Wright, Tatsuhiro Onodera, Martin Stein, Jianqi Hu, Peter McMahon, Sylvain Gigan

Proceedings Volume 12438, 124380Z (2023) https://doi.org/10.1117/12.2646861

KEYWORDS: Neural networks, Education and training, Optical computing, Design and modelling, Nonlinear optics, Reconfigurable computing, Physics, Digital micromirror devices, Diffusers, Deep learning

Read Abstract +

Proceedings Article | 4 October 2022 Presentation

Image sensing with nonlinear optical neural networks (Conference Presentation)

Mandar Sohoni, Tianyu Wang, Logan Wright, Tatsuhiro Onodera, Martin Stein, Shiyuan Ma, Maxwell Anderson, Peter McMahon

Proceedings Volume PC12204, PC1220409 (2022) https://doi.org/10.1117/12.2646545

KEYWORDS: Neural networks, Optical sensing, Sensors, Optoelectronics, Nonlinear optics, Image intensifiers, Image compression, CMOS sensors, Photons, Optical sensors

Read Abstract +

Proceedings Article | 9 March 2022 Presentation

Coherent Ising machines: models for architectures and applications

Edwin Ng, Tatsuhiro Onodera, Ryotatsu Yanagimoto, Atsushi Yamamura, Peter McMahon, Hideo Mabuchi

Proceedings Volume PC12019, PC120190H (2022) https://doi.org/10.1117/12.2613817

KEYWORDS: Quantum physics, Physics, Stochastic processes, Statistical modeling, Quantum efficiency, Prototyping, Oscillators, Nonlinear optics, Lead, Computer architecture

Read Abstract +