Satoshi Sunada
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View article: 100 Mfps ghost imaging with wavelength division multiplexing
100 Mfps ghost imaging with wavelength division multiplexing Open
Ghost imaging (GI) and single-pixel imaging (SPI) techniques enable image reconstruction without spatially resolved detectors, offering unique access to wide spectral ranges and challenging imaging environments. Yet, their adoption has bee…
View article: Reconfigurable Optical Logic Gates and 2-Bit Decoder Using Multiport Directional Couplers
Reconfigurable Optical Logic Gates and 2-Bit Decoder Using Multiport Directional Couplers Open
We demonstrate a reconfigurable photonic platform capable of implementing both optical logic gates and a 2-bit decoder on the same device. The architecture is based on cascaded multiport directional couplers interleaved with thermo-optic p…
View article: Nonlinear time series computing using a linear optical microcavity
Nonlinear time series computing using a linear optical microcavity Open
Photonic systems excel at performing linear computations, such as matrix-vector multiplications, in a highly parallel and energy-efficient manner. However, implementing nonlinear computations in photonic systems remains challenging without…
View article: Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks Open
The rapidly increasing computational demands for artificial intelligence (AI) have spurred the exploration of computing principles beyond conventional digital computers. Physical neural networks (PNNs) offer efficient neuromorphic informat…
View article: Roadmap for unconventional computing with nanotechnology
Roadmap for unconventional computing with nanotechnology Open
In the ‘Beyond Moore’s Law’ era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benef…
View article: Optical hyperdimensional soft sensing: Speckle-based touch interface and tactile sensor
Optical hyperdimensional soft sensing: Speckle-based touch interface and tactile sensor Open
Hyperdimensional computing (HDC) is an emerging computing paradigm that exploits the distributed representation of input data in a hyperdimensional space, the dimensions of which are typically between 1,000--10,000. The hyperdimensional di…
View article: Optical hyperdimensional soft sensing: speckle-based touch interface and tactile sensor
Optical hyperdimensional soft sensing: speckle-based touch interface and tactile sensor Open
Hyperdimensional computing (HDC) is an emerging computing paradigm that exploits the distributed representation of input data in a hyperdimensional space, the dimensions of which are typically between 1,000–10,000. The hyperdimensional dis…
View article: Time-domain photonic image processor based on speckle projection and reservoir computing
Time-domain photonic image processor based on speckle projection and reservoir computing Open
High-speed image processing is essential for many real-time applications. On-chip photonic neural network processors have the potential to speed up image processing, but their scalability is limited in terms of the number of input/output c…
View article: Ultrafast single-channel machine vision based on neuro-inspired photonic computing
Ultrafast single-channel machine vision based on neuro-inspired photonic computing Open
High-speed machine vision is increasing its importance in both scientific and technological applications. Neuro-inspired photonic computing is a promising approach to speed-up machine vision processing with ultralow latency. However, the p…
View article: Roadmap for Unconventional Computing with Nanotechnology
Roadmap for Unconventional Computing with Nanotechnology Open
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benef…
View article: Time-domain image processing using photonic reservoir computing
Time-domain image processing using photonic reservoir computing Open
Photonic computing has attracted much attention due to its great potential to accelerate artificial neural network operations. However, the processing of a large amount of data, such as image data, basically requires large-scale photonic c…
View article: Power-law fluctuations near critical point in semiconductor lasers with delayed feedback
Power-law fluctuations near critical point in semiconductor lasers with delayed feedback Open
Since the analogy between laser oscillation and second-order phase transition was indicated in the 1970s, dynamical fluctuations on lasing threshold inherent in critical phenomena have gained significant interest. Here, we numerically and …
View article: Controlling chaotic itinerancy in laser dynamics for reinforcement learning
Controlling chaotic itinerancy in laser dynamics for reinforcement learning Open
Photonic artificial intelligence has attracted considerable interest in accelerating machine learning; however, the unique optical properties have not been fully used for achieving higher-order functionalities. Chaotic itinerancy, with its…
View article: Universal Single-Mode Lasing in Fully Chaotic Billiard Lasers
Universal Single-Mode Lasing in Fully Chaotic Billiard Lasers Open
By numerical simulations and experiments of fully chaotic billiard lasers, we show that single-mode lasing states are stable, whereas multi-mode lasing states are unstable when the size of the billiard is much larger than the wavelength an…
View article: Analysis of temporal structure of laser chaos by Allan variance
Analysis of temporal structure of laser chaos by Allan variance Open
Allan variance has been widely utilized in evaluating the stability of the time series generated by atomic clocks and lasers, in time regimes ranging from short to extremely long. This multi-scale examination capability of the Allan varian…
View article: Speckle-based high-resolution multimodal soft sensing
Speckle-based high-resolution multimodal soft sensing Open
View article: Parallel bandit architecture based on laser chaos for reinforcement learning
Parallel bandit architecture based on laser chaos for reinforcement learning Open
Accelerating artificial intelligence by photonics is an active field of study aiming to exploit the unique properties of photons. Reinforcement learning is an important branch of machine learning, and photonic decision-making principles ha…
View article: Gigahertz-rate random speckle projection for high-speed single-pixel image classification
Gigahertz-rate random speckle projection for high-speed single-pixel image classification Open
Imaging techniques based on single-pixel detection, such as ghost imaging, can reconstruct or recognize a target scene from multiple measurements using a sequence of random mask patterns. However, the processing speed is limited by the low…
View article: Parallel bandit architecture based on laser chaos for reinforcement learning
Parallel bandit architecture based on laser chaos for reinforcement learning Open
Accelerating artificial intelligence by photonics is an active field of study aiming to exploit the unique properties of photons. Reinforcement learning is an important branch of machine learning, and photonic decision-making principles ha…
View article: Controlling chaotic itinerancy in laser dynamics for reinforcement learning
Controlling chaotic itinerancy in laser dynamics for reinforcement learning Open
Photonic artificial intelligence has attracted considerable interest in accelerating machine learning; however, the unique optical properties have not been fully utilized for achieving higher-order functionalities. Chaotic itinerancy, with…
View article: Optical skin: Sensor-integration-free multimodal flexible sensing
Optical skin: Sensor-integration-free multimodal flexible sensing Open
The biological skin enables animals to sense various stimuli. Extensive efforts have been made recently to develop smart skin-like sensors to extend the capabilities of biological skins; however, simultaneous sensing of several types of st…
View article: Power-law fluctuations near critical point in semiconductor lasers with delayed feedback
Power-law fluctuations near critical point in semiconductor lasers with delayed feedback Open
Since the analogy between laser oscillation and second-order phase transition was indicated in the 1970s, dynamical fluctuations on lasing threshold inherent in critical phenomena have gained significant interest. Here, we numerically and …
View article: Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing
Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing Open
Photonic neural networks have significant potential for high-speed neural processing with low latency and ultralow energy consumption. However, the on-chip implementation of a large-scale neural network is still challenging owing to its lo…
View article: Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing
Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing Open
Photonic neural networks have significant potential for high-speed neural processing with low latency and ultralow energy consumption. However, the on-chip implementation of a large-scale neural network is still challenging owing to its lo…
View article: Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing
Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing Open
The recent rapid increase in demand for data processing has resulted in the need for novel machine learning concepts and hardware. Physical reservoir computing and an extreme learning machine are novel computing paradigms based on physical…
View article: Physical Deep Learning Based on Optimal Control of Dynamical Systems
Physical Deep Learning Based on Optimal Control of Dynamical Systems Open
Deep learning is the backbone of artificial intelligence technologies, and it\ncan be regarded as a kind of multilayer feedforward neural network. An essence\nof deep learning is information propagation through layers. This suggests that\n…
View article: Lyapunov exponent analysis for multilayer neural networks
Lyapunov exponent analysis for multilayer neural networks Open
A multilayer neural network can be regarded as a type of discrete-time dynamical system in the sense that layer-to-layer information propagation can be expressed as the time evolution of a particular dynamical system. In this study, we inv…
View article: Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing
Using multidimensional speckle dynamics for high-speed, large-scale, parallel photonic computing Open
The recent rapid increase in demand for data processing has resulted in the need for novel machine learning concepts and hardware. Physical reservoir computing and an extreme learning machine are novel computing paradigms based on physical…
View article: Photonic Reservoir Computing: Exploiting Complex Photonics for Information Processing
Photonic Reservoir Computing: Exploiting Complex Photonics for Information Processing Open
Reservoir computing (RC), which is a computational paradigm that uses dynamical systems, is a powerful tool for solving highly complex and abstract computational tasks. RC has recently been implemented in a variety of physical systems, inc…
View article: Photonic reservoir computing based on nonlinear wave dynamics at microscale
Photonic reservoir computing based on nonlinear wave dynamics at microscale Open
High-dimensional nonlinear dynamical systems, including neural networks, can be utilized as computational resources for information processing. In this sense, nonlinear wave systems are good candidates for such computational resources. Her…