Zusammenfassung
Noise detrimentally affects quantum computations so that they not only become
less accurate but also easier to simulate classically as systems scale up. We
construct a classical simulation algorithm, LOWESA (low weight efficient
simulation algorithm), for estimating expectation values of noisy parameterised
quantum circuits. It combines previous results on spectral analysis of
parameterised circuits with Pauli back-propagation and recent ideas for
simulations of noisy random circuits. We show, under some conditions on the
circuits and mild assumptions on the noise, that LOWESA gives an efficient,
polynomial algorithm in the number of qubits (and depth), with approximation
error that vanishes exponentially in the physical error rate and a controllable
cut-off parameter. We also discuss the practical limitations of the method for
circuit classes with correlated parameters and its scaling with decreasing
error rates.
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