Efficient reconstruction, benchmarking and validation of cross-talk models in readout noise in near-term quantum devices

• URL: http://arxiv.org/abs/2311.10661v1
• Date: Fri, 17 Nov 2023 17:33:29 GMT
• Title: Efficient reconstruction, benchmarking and validation of cross-talk models in readout noise in near-term quantum devices
• Authors: Jan Tuziemski, Filip B. Maciejewski, Joanna Majsak, Oskar S{\l}owik, Marcin Kotowski, Katarzyna Kowalczyk-Murynka, Piotr Podziemski, Micha\l\ Oszmaniec
• Abstract summary: We introduce an appropriately tailored quantum detector tomography protocol, which enables efficient characterization of $k-$local cross-talk effects in the readout noise. We show that QDOT data provides information about suitably defined reduced POVM operators, correlations and coherences in the readout noise. We apply our method to investigate cross-talk effects on 79 qubit Rigetti and 127 qubit IBM devices.
• Score: 3.1410859223862113
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Readout errors contribute significantly to the overall noise affecting present-day quantum computers. However, the complete characterization of generic readout noise is infeasible for devices consisting of a large number of qubits. Here we introduce an appropriately tailored quantum detector tomography protocol, the so called Quantum Detector Overlapping Tomography, which enables efficient characterization of $k-$local cross-talk effects in the readout noise as the sample complexity of the protocol scales logarithmically with the total number of qubits. We show that QDOT data provides information about suitably defined reduced POVM operators, correlations and coherences in the readout noise, as well as allows to reconstruct the correlated clusters and neighbours readout noise model. Benchmarks are introduced to verify utility and accuracy of the reconstructed model. We apply our method to investigate cross-talk effects on 79 qubit Rigetti and 127 qubit IBM devices. We discuss their readout noise characteristics, and demonstrate effectiveness of our approach by showing superior performance of correlated clusters and neighbours over models without cross-talk in model-based readout error mitigation applied to energy estimation of MAX-2-SAT Hamiltonians, with the improvement on the order of 20% for both devices.

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