Machine Learning to Simulate Quantum Computing System Errors from Physical Observations

In the context of quantum computing, error correction remains a pivotal challenge, primarily due to imperfect gate operations and environmental interactions. This study introduces a machine learning-based method to simulate and analyze these errors. Utilizing a minimal scalable 2-Majorana-zero-mode...

Full description

Saved in:
Bibliographic Details
Main Authors: Jie Feng, Xingchen Zhang, Guanhao Feng, Hong-Hao Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Universe
Subjects:
Online Access:https://www.mdpi.com/2218-1997/11/4/120
Tags: Add Tag
No Tags, Be the first to tag this record!