Results 41 to 50 of about 1,850,478 (263)
Analog errors in Ising machines [PDF]
Quantum Science and Technology, 2019 Abstract Recent technological breakthroughs have precipitated the availability of specialized devices that promise to solve NP-Hard problems faster than standard computers. These ‘Ising Machines’ are however analog in nature and as such inevitably have implementation errors.
Tameem Albash +2 more
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Ising models and multiresolution quad-trees [PDF]
, 2003 We study percolation and Ising models defined on generalizations of quad-trees used in multiresolution image analysis. These can be viewed as trees for which each mother vertex has 2(d) daughter vertices, and for which daughter vertices are linked ...
Wilson, Roland, Kendall, W. S.
core +1 more source
Hybrid Optimization Method Using Simulated-Annealing-Based Ising Machine and Quantum Annealer [PDF]
, 2023 Ising machines have the potential to realize fast and highly accurate solvers for combinatorial optimization problems. They are classified based on their internal algorithms.
Kikuchi, Shuta +2 more
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Application of Ising Machines and a Software Development for Ising Machines
Journal of the Physical Society of Japan, 2019 An online advertisement optimization, which can be represented by a combinatorial optimization problem is performed using D-Wave 2000Q, a quantum annealing machine.
Kotaro Tanahashi +3 more
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Efficient optimization with higher-order Ising machines [PDF]
Nature Communications, 2023 AbstractA prominent approach to solving combinatorial optimization problems on parallel hardware is Ising machines, i.e., hardware implementations of networks of interacting binary spin variables. Most Ising machines leverage second-order interactions although important classes of optimization problems, such as satisfiability problems, map more ...
Connor Bybee +5 more
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Training an Ising Machine with Equilibrium Propagation [PDF]
, 2023 Ising machines, which are hardware implementations of the Ising model of coupled spins, have been influential in the development of unsupervised learning algorithms at the origins of Artificial Intelligence (AI). However, their application to AI has been
Grollier, Julie +2 more
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Hardware Acceleration of Stochastic Neural Networks Enabled by Bit-Cell Level Co-Design of Magnetic Tunnel Junctions. [PDF]
Adv Sci (Weinh)An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Wang Q +6 more
europepmc +2 more sources
Image restoration using optoelectronic coherent ising machine
, 2023 International audienceWe propose an optoelectronic Coherent Ising Machine implemented using off-the-shelf optical telecommunications devices for image denoising for the first time.
Mwamsojo, Nickson +5 more
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Oscillator-based Ising Machine
CoRR, 2017 Many combinatorial optimization problems can be mapped to finding the ground states of the corresponding Ising Hamiltonians. The physical systems that can solve optimization problems in this way, namely Ising machines, have been attracting more and more attention recently.
Tianshi Wang, Jaijeet Roychowdhury
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Micromachines, 2023 With its unique computer paradigm, the Ising annealing machine has become an emerging research direction. The Ising annealing system is highly effective at addressing combinatorial optimization (CO) problems that are difficult for conventional computers ...
Wenhan Chen +6 more
doaj +1 more source