Sep 16, 2021 · We propose a method for fully optimizing an RB configuration so that the confidence interval of the estimated fidelity is minimized while not increasing the ...
Randomized benchmarking (RB) is a widely used method for estimating the average fidelity of gates implemented on a quantum computing device.
Sep 16, 2021 · Abstract—Randomized benchmarking (RB) is a widely used method for estimating the average fidelity of gates implemented.
This work proposes a method for fully optimizing an RB configuration so that the confidence interval of the estimated fidelity is minimized while not ...
Sampling Strategy Optimization for Randomized Benchmarking
www.researchgate.net › publication › 35...
Randomized benchmarking (RB) is a widely used method for estimating the average fidelity of gates implemented on a quantum computing device.
Sampling Strategy Optimization for Randomized Benchmarking
www.researchgate.net › publication › 35...
In the second stage, the best memory is adjusted using a random Gaussian number with a mean of 0 and a dynamic standard deviation. The dynamic bandwidth and ...
Inproceedings,. Sampling Strategy Optimization for Randomized Benchmarking. T. Itoko, and R. Raymond.
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The aim of the benchmark is to provide a simple, useful parameter describing the quality of quantum control with an experiment that can be performed in a ...
Duration: 58:50
Posted: Nov 28, 2023
Posted: Nov 28, 2023
Missing: Sampling | Show results with:Sampling
Aug 9, 2022 · A universal framework for randomized benchmarking is presented, greatly expanding its applicability to more general distributions of gates.