Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

Heuristic recurrent algorithms for photonic Ising machines

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A new golden age for computer architecture

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Experimental investigation of performance differences between coherent Ising machines and a quantum annealer

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Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer

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Integrated Coherent Ising Machines Based on Self-Phase Modulation in Microring Resonators

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Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine

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Equivalent-accuracy accelerated neural-network training using analogue memory

(2018) Stefano Ambrogio et al.   NATURE

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

(2018) Matthew J. Marinella et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

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(2018) Masanao Ozawa   npj Quantum Information

A novel memristive Hopfield neural network with application in associative memory

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Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

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Training and operation of an integrated neuromorphic network based on metal-oxide memristors

(2015) M. Prezioso et al.   NATURE

Small-world Hopfield neural networks with weight salience priority and memristor synapses for digit recognition

(2015) Shukai Duan et al.   NEURAL COMPUTING & APPLICATIONS

Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits

(2015) Xinjie Guo et al.   Frontiers in Neuroscience

The unconstrained binary quadratic programming problem: a survey

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Beyond von Neumann—logic operations in passive crossbar arrays alongside memory operations

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A scalable neuristor built with Mott memristors

(2012) Matthew D. Pickett et al.   NATURE MATERIALS

Sub-nanosecond switching of a tantalum oxide memristor

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Quantum annealing with manufactured spins

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Resistance-dependent amplitude of random telegraph-signal noise in resistive switching memories

(2010) Daniele Ielmini et al.   APPLIED PHYSICS LETTERS