Unknown

Dataset Information

Benchmarking universal quantum gates via channel spectrum.


ABSTRACT: Noise remains the major obstacle to scalable quantum computation. Quantum benchmarking provides key information on noise properties and is an important step for developing more advanced quantum processors. However, current benchmarking methods are either limited to a specific subset of quantum gates or cannot directly describe the performance of the individual target gate. To overcome these limitations, we propose channel spectrum benchmarking (CSB), a method to infer the noise properties of the target gate, including process fidelity, stochastic fidelity, and some unitary parameters, from the eigenvalues of its noisy channel. Our CSB method is insensitive to state-preparation and measurement errors, and importantly, can benchmark universal gates and is scalable to many-qubit systems. Unli

SUBMITTER: Gu Y 

PROVIDER: S-EPMC10514318 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature