acuto/ntt-quantum

A list of selected public media and research papers about Coherent Ising Machines by NTT

Selected NTT Group Publications on Quantum Computing

NTT Research Videos

• Quantum Nature of the CIM

• Hiroki Takesue, Current Status of Coherent Ising Machine/LASOLV at NTT Laboratories

• Peter McMahon, Computing with Physical Systems

• Ryan Hamerly, The Future of Deep Learning: Why Optics?

• Surya Ganguli, Statistical Mechanics of High Dimensional Optimization Landscape in the CIM

• Timothee Leleu, A Fast, Scalable & Reconfigurable Simulation Platform for the Coherent Ising Machine

NTT R&D HQ Videos

• Quantum Neural Network

• Photonic spiking neural network toward a new neuromorphic computing

• High-speed information processing using an optical neural network

• [NTT IR DAY 2019] Quantum Neural Network

• [NTT IR DAY 2019] Quantum Neural Network (Q&A)

White Papers: Quantum Neural Network

• Quantum Neural Network – Optical Neural Networks operating at the Quantum Limit – Preface

• Introduction to Quantum Neural Networks

• Physics of Optical Parametric Oscillator

• Theory of Optical Delay Line Coupling Quantum Neural Network

• Theory of Quantum Measurements

• Theory of Measurement Feedback Based Quantum Neural Networks

• Coherent Ising Machines

Research Papers on Coherent Ising Machines

• Ng et al., Efficient sampling of ground and low-energy Ising spin configurations with a coherent Ising machine (2022)

• Leleu et al., Scaling advantage of chaotic amplitude control for high-performance combinatorial optimization (2021)

• Honjo et al., 100,000-spin coherent Ising machine (2021)

• Reifenstein et al., Coherent Ising Machines with Optical Error Correction Circuits (2021)

• Sankar et al., Benchmark Study of Quantum Algorithms for Combinatorial Optimization: Unitary versus Dissipative (2021)

• Yamamoto et al., Coherent Ising machines—Quantum optics and neural network Perspectives (2020)

• Hamerly et al., Experimental investigation of performance differences between coherent Ising machines and a quantum annealer (2019)

• Takesue et al., Large-scale Coherent Ising Machine (2019)

• Leleu et al., Destabilization of Local Minima in Analog Spin Systems by Correction of Amplitude Heterogeneity (2019)

• Yamamoto et al., Coherent Ising machines—optical neural networks operating at the quantum limit (2017)

• McMahon et al., A fully programmable 100-spin coherent Ising machine with all-to-all connections (2016)

• Inagaki et al., A coherent Ising machine for 2000-node optimization problems (2016)

• Haribara et al., Computational Principle and Performance Evaluation of Coherent Ising Machine Based on Degenerate Optical Parametric Oscillator Network (2016)

• Haribara et al., A coherent Ising machine for MAX-CUT problems : Performance evaluation against semidefinite programming relaxation and simulated annealing (2016)

• Wang et al., Coherent Ising machine based on degenerate optical parametric oscillators (2013)