Characterizing Superconducting Qubits using Averaged Circuit Eigenvalue Sampling
Abstract
Efficient characterization of noise during quantum gate operations is an essential step to building and scaling up a quantum computer. One such protocol is averaged circuit eigenvalue sampling (ACES) which efficiently characterizes a noisy gate set by reconstructing a Pauli noise model for a each gate. Here we utilize the ACES protocol to characterize two coupled superconducting qubits. For accurate reconstruction, we tailor the noise via Pauli twirling and account for measurement errors. We verify the accuracy of the protocol by comparing the predicted gate fidelities to that extracted from conventional benchmarking approaches, such as interleaved randomized benchmarking. Furthermore, we demonstrate the efficacy of ACES in accurately identifying specific noise sources by reconstructing injected phase errors in the two-qubit gates.
Keywords
Cite
@article{arxiv.2510.02454,
title = {Characterizing Superconducting Qubits using Averaged Circuit Eigenvalue Sampling},
author = {Tauno Palomaki and Shu Xin Wu and Noah Huffman and Samuel D. Park and James Shackford and Ben DalFavero and Leigh Norris and Ryan Sitler and Paraj Titum and Kevin Schultz},
journal= {arXiv preprint arXiv:2510.02454},
year = {2025}
}