Guo-Ping Guo

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 analytically predictable. U...