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

• DOI: 10.48550/arxiv.2201.09866
• Publication Date: 2022-01-01
• Authors: E. van den Berg; Zlatko Minev; Abhinav Kandala; Kristan Temme
• Keywords: Pauli exclusion principle

Noise in pre-fault-tolerant quantum computers can result biased estimates of physical observables. Accurate bias-free be obtained using probabilistic error cancellation (PEC), which is an error-mitigation technique that effectively inverts well-characterized noise channels. Learning correlated channels large circuits, however, has been a major challenge and severely hampered experimental realizations. Our work presents practical protocol for learning inverting sparse model able to capture scales devices. These advances allow us demonstrate PEC on superconducting processor with crosstalk errors, thereby providing important milestone opening the way computing noise-free observables at larger circuit volumes.