Probabilistic error cancellation with sparse Pauli-Lindblad models on noisy quantum processors

• URL: http://arxiv.org/abs/2201.09866v2
• Date: Thu, 23 Jun 2022 15:33:35 GMT
• Title: Probabilistic error cancellation with sparse Pauli-Lindblad models on noisy quantum processors
• Authors: Ewout van den Berg, Zlatko K. Minev, Abhinav Kandala, Kristan Temme
• Abstract summary: We present a protocol for learning and inverting a sparse noise model that is able to capture correlated noise and scales to large quantum devices. These advances allow us to demonstrate PEC on a superconducting quantum processor with crosstalk errors.
• Score: 0.7299729677753102
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Noise in pre-fault-tolerant quantum computers can result in biased estimates of physical observables. Accurate bias-free estimates can be obtained using probabilistic error cancellation (PEC), which is an error-mitigation technique that effectively inverts well-characterized noise channels. Learning correlated noise channels in large quantum circuits, however, has been a major challenge and has severely hampered experimental realizations. Our work presents a practical protocol for learning and inverting a sparse noise model that is able to capture correlated noise and scales to large quantum devices. These advances allow us to demonstrate PEC on a superconducting quantum processor with crosstalk errors, thereby providing an important milestone in opening the way to quantum computing with noise-free observables at larger circuit volumes.

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