PAEMS: Precise and Adaptive Error Model for Superconducting Quantum Processors

2026-06-27 Hits:

Affiliation of Author(s):University of Electronic Science and Technology of China (UESTC)

Teaching and Research Group:Integrated Physics Group (IPG)

Journal:arXiv

Place of Publication:online

Abstract:Superconducting quantum processor units (QPUs) are incapable of producing massive datasets for quantum error correction (QEC) because of hardware limitations. Thus, QEC decoders heavily depend on synthetic data from qubit error models. Classic depolarizing error models with polynomial complexity present limited accuracy. Coherent density matrix methods suffer from exponential complexity  where  represents the number of qubits. This paper introduces PAEMS: a precise and adaptive qubit error model. Its qubit-wise separation framework, incorporating leakage propagation, captures error evolvements

Note:https://arxiv.org/abs/2603.29439v2

All the Authors:Yifei Cui,Bo Liu,Kai Guo

First Author:Songhuan He

Indexed by:Journal

Correspondence Author:Cheng Wang

Document Code:https://doi.org/10.48550/arXiv.2603.29439

Page Number:1-10

Translation or Not:no

Date of Publication:2026-03-31

Date of Publication:2026-03-31