Correlated Randomized Benchmarking
- URL: http://arxiv.org/abs/2003.02354v1
- Date: Wed, 4 Mar 2020 22:37:57 GMT
- Title: Correlated Randomized Benchmarking
- Authors: David C. McKay, Andrew W. Cross, Christopher J. Wood, and Jay M.
Gambetta
- Abstract summary: We introduce a crosstalk metric which indicates the distance to the closest map with only local errors.
We demonstrate this technique experimentally with a four-qubit superconducting device.
- Score: 0.4462334751640167
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: To improve the performance of multi-qubit algorithms on quantum devices it is
critical to have methods for characterizing non-local quantum errors such as
crosstalk. To address this issue, we propose and test an extension to the
analysis of simultaneous randomized benchmarking data -- correlated randomized
benchmarking. We fit the decay of correlated polarizations to a composition of
fixed-weight depolarizing maps to characterize the locality and weight of
crosstalk errors. From these errors we introduce a crosstalk metric which
indicates the distance to the closest map with only local errors. We
demonstrate this technique experimentally with a four-qubit superconducting
device and utilize correlated RB to validate crosstalk reduction when we
implement an echo sequence.
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