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Classical simulation of amplitude-damped bucket-brigade quantum random access memories via predictable branch evolution
Classical simulation of quantum random access memory (QRAM) under noise can be accelerated dramatically by branch pruning: noise histories are sampled as trajectory ensembles, and good branches, whose routing paths avoid every sampled fault, need not be evolved because their final states are analyti
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