Tensor network noise characterization for near-term quantum computers
- URL: http://arxiv.org/abs/2402.08556v1
- Date: Tue, 13 Feb 2024 15:57:47 GMT
- Title: Tensor network noise characterization for near-term quantum computers
- Authors: Stefano Mangini, Marco Cattaneo, Daniel Cavalcanti, Sergei Filippov,
Matteo A. C. Rossi, Guillermo Garc\'ia-P\'erez
- Abstract summary: We show how experimentally feasible tomographic samples are sufficient to accurately characterize realistic correlated noise models.
We combine this noise characterization method with a recently proposed noise-aware tensor network error mitigation protocol.
This positions the tensor-network-based noise characterization protocol as a valuable tool for practical error characterization and mitigation in the near-term quantum computing era.
- Score: 0.559239450391449
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Characterization of noise in current near-term quantum devices is of
paramount importance to fully use their computational power. However, direct
quantum process tomography becomes unfeasible for systems composed of tens of
qubits. A promising alternative method based on tensor networks was recently
proposed [Nat Commun 14, 2858 (2023)]. In this work, we adapt it for the
characterization of noise channels on near-term quantum computers and
investigate its performance thoroughly. In particular, we show how
experimentally feasible tomographic samples are sufficient to accurately
characterize realistic correlated noise models affecting individual layers of
quantum circuits, and study its performance on systems composed of up to 20
qubits. Furthermore, we combine this noise characterization method with a
recently proposed noise-aware tensor network error mitigation protocol for
correcting outcomes in noisy circuits, resulting accurate estimations even on
deep circuit instances. This positions the tensor-network-based noise
characterization protocol as a valuable tool for practical error
characterization and mitigation in the near-term quantum computing era.
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