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@commitvc @nvidia Ising uses quantum annealing for combinatorial optimization — not gate-based quantum computing. The PyTorch analogy undersells the gap. Annealing solvers target a specific problem class (QUBO) and won't generalize to arbitrary ML workloads without different hardware entirely.
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