Characterization of Noise using variants of Unitarity Randomized Benchmarking
Adarsh Chandrashekar, Soumya Das, Goutam Paul

TL;DR
This paper introduces a practical modification of the unitarity randomized benchmarking protocol, called m-URB, enabling its implementation on real quantum devices to characterize noise, including cross-talk errors, using simulations based on IBM-Q data.
Contribution
The paper proposes the m-URB protocol, a practical variant of URB suitable for current quantum devices, and demonstrates its effectiveness in noise characterization and cross-talk detection.
Findings
Validated m-URB with depolarising and bit-flip channels
Developed Ng-URB to analyze native gate noise
Simulated native gate noise using IBM-Q data
Abstract
Benchmarking of noise that is induced during the implementation of quantum gates is the main concern for practical quantum computers. Several protocols have been proposed that empirically calculate various metrics that quantify the error rates of the quantum gates chosen from a preferred gate set. Unitarity randomized benchmarking (URB) protocol is a method to estimate the coherence of noise induced by the quantum gates which is measured by the metric \textit{unitarity}. In this paper, we for the first time, implement the URB protocol in a quantum simulator with all the parameters and noise model are used from a real quantum device. The direct implementation of the URB protocol in a quantum device is not possible using current technologies, as it requires the preparation of mixed states. To overcome this challenge, we propose a modification of the URB protocol, namely the m-URB…
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Taxonomy
TopicsProbabilistic and Robust Engineering Design
