A new class of efficient randomized benchmarking protocols

Abstract

Randomized benchmarking is a technique for estimating the average fidelity of a set of quantum gates. However, if this gateset is not the multi-qubit Clifford group, robustly extracting the average fidelity is difficult. Here, we propose a new method based on representation theory that has little experimental overhead and robustly extracts the average fidelity for a broad class of gatesets. We apply our method to a multi-qubit gateset that includes the T-gate, and propose a new interleaved benchmarking protocol that extracts the average fidelity of a two-qubit Clifford gate using only single-qubit Clifford gates as reference.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 21, 2019
Source ID
10.1038/s41534-019-0182-7

Entities

People

  • Jonas Helsen
  • Lieven M K Vandersypen
  • Stephanie Wehner
  • Xiao Xue

Organizations

  • Army Research Office

Tags

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Research Science/Academic Research

Technology Areas

  • Quantum Computing