Randomized benchmarking

rdf:langString Randomized benchmarking

rdf:langString Randomized benchmarking is a method for assessing the capabilities of quantum computing hardware platforms through estimating the average error rates that are measured under the implementation of long sequences of random quantum gate operations.It is the standard used by quantum hardware developers such as IBM and Google to test the validity of quantum operations, which in turn is used to improve the functionality of the hardware. The original theory of randomized benchmarking assumed the implementation of sequences of Haar-random or pseudo-random operations, but this had several practical limitations. The standard method of randomized benchmarking (RB) applied today is a more efficient version of the protocol based on uniformly random Clifford operations, proposed in 2006 by Dankert et al. as an application of the theory of unitary t-designs. In current usage randomized benchmarking sometimes refers to the broader family of generalizations of the 2005 protocol involving different random gate sets that can identify various features of the strength and type of errors affecting the elementary quantum gate operations. Randomized benchmarking protocols are an important means of verifying and validating quantum operations and are also routinely used for the optimization of quantum control procedures.