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Extreme-Scale Ising Machines with Cluster Mean-Field Theory

Zhang, Xiuqi et al.
arXiv (All) · Papers
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and-cluster-computingdisordered-systems-and-neural-networksdistributedemerging-technologiesparallel
Scaling analog and digital Ising machines to larger problems requires overcoming finite device capacity and the cost of communication between devices. We present cluster mean-field theory (CMFT), a framework that partitions a large interaction graph into clusters sized to fit available hardware. Eac
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