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Quantum process tomography has become increasingly critical as the need growsfor robust verification and validation of candidate quantum processors. Here,we present an approach for efficient quantum process tomography that uses aphysically motivated ansatz for an unknown quantum process. Our ansatzbootstraps to an effective description for an unknown process on a multi-qubitprocessor from pairwise two-qubit tomographic data. Further, our approach caninherit insensitivity to system preparation and measurement error from thetwo-qubit tomography scheme. We benchmark our approach using numericalsimulation of noisy three-qubit gates, and show that it produces highlyaccurate characterizations of quantum processes. Further, we demonstrate ourapproach experimentally, building three-qubit gate reconstructions fromtwo-qubit tomographic data.

Bootstrapping quantum process tomography via a perturbative ansatz