Review
Quantum Science & Technology
Nikita Stroev, Natalia G. Berloff
Summary: This review provides an overview of photonics computing, which utilizes photons, photons coupled with matter, and optics-related technologies for efficient computational purposes. It covers the history and development of photonics computing, focusing on optimization tasks and neural network implementations. The authors examine special-purpose optimizers, mathematical descriptions of photonics optimizers, and discuss various applications such as logistics, finance, machine learning, and image processing. The paper also explores the technological advancements and challenges in photonics computing, as well as the prospects and potential applications of optical quantum computing.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Janis Noetzel, Matteo Rosati
Summary: This article examines all-optical networks from a quantum perspective and demonstrates the benefits of using quantum receivers in terms of energy consumption reduction and increased system capacity. Based on these findings, the article proposes a new approach to optical communication network design.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Mohammad-Ali Miri, Vinod Menon
Summary: We demonstrate that coherent laser networks (CLNs) possess emerging neural computing capabilities by utilizing their collective behavior for storing and retrieving phase patterns. Moreover, the limitation of pattern retrieval to only two images can be overcome by introducing nonreciprocal coupling between lasers, thus enabling a larger storage capacity. This research opens up new possibilities for neural computation using coherent laser networks as analog processors, and introduces a novel energy-based recurrent neural network that handles continuous data.
Article
Engineering, Electrical & Electronic
Mikio Hasegawa, Hirotake Ito, Hiroki Takesue, Kazuyuki Aihara
Summary: This paper introduces a new optimization machine called the coherent Ising machine (CIM), which can solve various combinatorial optimization problems and has higher performance especially in dealing with dense mutual connections. Experimental results demonstrate the effectiveness of CIM in solving the traveling salesman problem, and it can also be applied to optimization problems in wireless communication systems.
IEICE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Mastiyage Don Sudeera Hasaranga Gunathilaka, Satoshi Kako, Yoshitaka Inui, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto, Toru Aonishi
Summary: The paper introduces the Coherent Ising Machine (CIM) and its application in solving optimization problems. The researchers achieved more accurate and effective results by using a closed-loop CIM compared to an open-loop system.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Multidisciplinary
Yoshitaka Inui, Mastiyage Don Sudeera Hasaranga Gunathilaka, Satoshi Kako, Toru Aonishi, Yoshihisa Yamamoto
Summary: This study shows that the performance of a coherent Ising machine (CIM) can be improved by amplitude control and adding artificial Zeeman terms, especially when Zeeman terms compete against mutual coupling coefficients.
COMMUNICATIONS PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Hang Chen, Jianan Feng, Minwei Jiang, Yiqun Wang, Jie Lin, Jiubin Tan, Peng Jin
Summary: This study extends the diffractive deep neural network (DNN)-N-2 to visible wavelengths and proposes a general theory to solve contradictions between wavelength, neuron size, and fabrication limitations. The novel visible light (DNN)-N-2 classifier successfully recognizes handwritten digits and altered targets.
Article
Physics, Multidisciplinary
Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto
Summary: Photonic neuromorphic computing utilizes photonics for high-speed and energy-efficient processing, demonstrating the potential for ultrahigh computing speed and efficiency. With the ability to process multiple wavelength inputs simultaneously, optical computing offers promise for high-speed, low-energy information processing.
COMMUNICATIONS PHYSICS
(2021)
Article
Quantum Science & Technology
Sam Reifenstein, Satoshi Kako, Farad Khoyratee, Timothee Leleu, Yoshihisa Yamamoto
Summary: The Coherent Ising Machine proposed in this study utilizes a network of quantum oscillators and optical error correction circuits to establish quantum correlations and decision-making processes. It features low power consumption and chaotic search capabilities, making it suitable for solving various types of problems.
ADVANCED QUANTUM TECHNOLOGIES
(2021)
Article
Engineering, Electrical & Electronic
Vinod Bajaj, Fred Buchali, Mathieu Chagnon, Sander Wahls, Vahid Aref
Summary: This paper details a neural network-based digital pre-distortion technique that aims to mitigate issues faced by high-symbol-rate coherent optical transceivers at high frequency. Through comparisons with other techniques, the study found that this technique performs well in improving signal-to-noise ratio and achieving high-speed transmission.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Syed Muhammad Abuzar Rizvi, Naema Asif, Muhammad Shohibul Ulum, Trung Q. Duong, Hyundong Shin
Summary: This paper explores the utility of artificial neural networks for classifying tripartite quantum states into different entanglement classes. The proposed method effectively detects and classifies tripartite entanglement, demonstrating advantages in both computational efficiency and generalization.
Article
Engineering, Electrical & Electronic
Boya Xie, Dechao He, Peng Yang, Sheng Feng
Summary: This study explores heterodyne detection to sense subhertz optical signals at the quantum noise limit. The experiment achieves quantum-noise-limited sensitivity from 0.2 Hz to 10 Hz, paving the way for ultra-sensitive technological development.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Optics
Hao Zhou, Lin Zhang, Jinchao Tong, Shaoteng Wu, Bongkwon Son, Qimiao Chen, Dao Hua Zhang, Chuan Seng Tan
Summary: Au-hole array and Au-GeSn grating structures were designed and incorporated in GeSn metal-semiconductor-metal photodetectors for enhanced photo detection at 2 µm. Both plasmonic structures are beneficial for effective optical confinement near the surface due to surface plasmon resonance, contributing to an enhanced responsivity.
Article
Physics, Mathematical
Hai Lin, Yuwei Zhu
Summary: This study focuses on coherent states of multi-graviton states and giant graviton states in the context of gauge/gravity correspondence. It presents N-state Schrodinger cat states and analyzes the quantum Fisher information and correlation between gravitational degrees of freedom. Additionally, it discusses noisy coherent states and their interpolation between pure coherent states and maximally mixed states.
JOURNAL OF MATHEMATICAL PHYSICS
(2021)
Article
Engineering, Electrical & Electronic
T. Kamiyama, H. Kobayashi, K. Iwashita
Summary: This study proposes a method to train neural networks for compensating fiber nonlinearities in long-distance coherent optical transmission systems. The method involves estimating phase noise by inverse modulation of received signals and using it for training. Results show the effectiveness of this technique in the presence of phase noise.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2021)
Article
Physics, Multidisciplinary
Timothee Leleu, Yoshihisa Yamamoto, Peter L. McMahon, Kazuyuki Aihara
PHYSICAL REVIEW LETTERS
(2019)
Article
Multidisciplinary Sciences
Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Dirk Englund, Eleanor Rieffel, Hiroki Takesue, Yoshihisa Yamamoto
Article
Physics, Applied
Y. Yamamoto, T. Leleu, S. Ganguli, H. Mabuchi
APPLIED PHYSICS LETTERS
(2020)
Article
Physics, Multidisciplinary
Yoshitaka Inui, Yoshihisa Yamamoto
Summary: Our study demonstrates that the entanglement criterion by Hillery-Zubairy is satisfied both below and above the threshold of coupled non-degenerate optical parametric oscillators with strong nonlinear gain saturation and dissipative linear coupling. We found that below-threshold entanglement may depend on detuning in the parametric interaction, while entanglement is possible even without detuning in the interaction below the threshold.
Article
Quantum Science & Technology
Toru Aonishi, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto
Summary: A quantum-classical hybrid system is proposed for optimization in L0-regularization-based compressed sensing, potentially outperforming L1-regularization-based compressed sensing. The system utilizes a coherent Ising machine as the quantum machine and shows promising theoretical performance close to the limit of compressed sensing, surpassing L1-RBCS in estimation accuracy in practical applications such as magnetic resonance imaging data analysis.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Physics, Multidisciplinary
Kensuke Inaba, Takahiro Inagaki, Koji Igarashi, Shoko Utsunomiya, Toshimori Honjo, Takuya Ikuta, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Kyo Inoue, Yoshihisa Yamamoto, Hiroki Takesue
Summary: In this study, we demonstrate a solver for the Potts model using hybrid computation, which combines physical and digital architectures. By updating interaction matrices based on the Ising solutions, we are able to save resources and obtain approximate solutions to integer optimization problems efficiently.
COMMUNICATIONS PHYSICS
(2022)
Article
Physics, Multidisciplinary
Yoshitaka Inui, Mastiyage Don Sudeera Hasaranga Gunathilaka, Satoshi Kako, Toru Aonishi, Yoshihisa Yamamoto
Summary: This study shows that the performance of a coherent Ising machine (CIM) can be improved by amplitude control and adding artificial Zeeman terms, especially when Zeeman terms compete against mutual coupling coefficients.
COMMUNICATIONS PHYSICS
(2022)
Article
Physics, Multidisciplinary
Edwin Ng, Tatsuhiro Onodera, Satoshi Kako, Peter L. McMahon, Hideo Mabuchi, Yoshihisa Yamamoto
Summary: This study explores the nonlinear stochastic dynamics of a measurement-feedback-based coherent Ising machine in the presence of quantum noise, demonstrating its potential to sample degenerate ground and low-energy spin configurations of the Ising model. A discrete-time Gaussian-state model of the machine is formulated to accurately capture the nonlinear dynamics above system threshold. Numerical simulations show that operating the machine in a quantum-noise-dominated regime can efficiently produce samples of low-energy Ising spin configurations.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Quantum Science & Technology
Sam Reifenstein, Satoshi Kako, Farad Khoyratee, Timothee Leleu, Yoshihisa Yamamoto
Summary: The Coherent Ising Machine proposed in this study utilizes a network of quantum oscillators and optical error correction circuits to establish quantum correlations and decision-making processes. It features low power consumption and chaotic search capabilities, making it suitable for solving various types of problems.
ADVANCED QUANTUM TECHNOLOGIES
(2021)
Article
Optics
Yoshitaka Inui, Yoshihisa Yamamoto
Article
Quantum Science & Technology
Satoshi Kako, Timothee Leleu, Yoshitaka Inui, Farad Khoyratee, Sam Reifenstein, Yoshihisa Yamamoto
ADVANCED QUANTUM TECHNOLOGIES
(2020)
