aiqbench analysis
This research presents a method to make zero-fidelity robust against state preparation and measurement errors while extending applicability beyond the three-qubit limit of standard randomized benchmarking. By employing channel noise scaling techniques, the study advances quantum error mitigation strategies essential for characterizing larger multi-qubit systems without relying on idealized assumptions about SPAM processes.
Making the zeroth-order process fidelity independent of state preparation and measurement errors
arXiv:2312.08590v4 Announce Type: replace Abstract: In this work, we demonstrate that the zero-fidelity, an approximation to the process fidelity, when combined with randomized benchmarking, becomes robust to state preparation and measurement (SPAM) errors. However, as randomized benchmarking requires randomly choosing an increasingly large number of Clifford elements from the Clifford group when the qubit number increases, this combination is also limited to quantum systems with up to three qubits. To make the zero-fidelity independent of SPAM errors and, at the same time, applicable to multi-qubit systems, we employ a channel noise scaling method similar to the method of global unitary folding, or identity scaling, used for quantum error mitigation.
Abstract:In this work, we demonstrate that the zero-fidelity, an approximation to the process fidelity, when combined with randomized benchmarking, becomes robust to state preparation and measurement (SPAM) errors. However, as randomized benchmarking requires randomly choosing an increasingly large number of Clifford elements from the Clifford group when the qubit number increases, this combination is also limited to quantum systems with up to three qubits. To make the zero-fidelity independent of SPAM errors and, at the same time, applicable to multi-qubit systems, we employ a channel noise scaling method similar to the method of global unitary folding, or identity scaling, used for quantum error mitigation.
arXiv:2312.08590 [quant-ph]
(or arXiv:2312.08590v4 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2312.08590 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 193 words
