Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations

arXiv:2504.18359v2 Announce Type: replace-cross Abstract: Stochastic Ising machines, sIMs, are highly promising accelerators for optimization and sampling of computational problems that can be formulated as an Ising model. Here we investigate the computational advantage of sIM...

🔗 Read more: https://arxiv.org/abs/2504.18359

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