A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling
Dorit Aharonov, Xun Gao, Zeph Landau, Yunchao Liu, Umesh V. Vazirani
Abstract
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse polynomial total variation distance. This gives strong evidence that, in the presence of a constant rate of noise per gate, random circuit sampling (RCS) cannot be the basis of a scalable experimental violation of the extended Church-Turing thesis. Our algorithm is not practical in its current form, and does not address finite-size RCS based quantum supremacy experiments.
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