Application Review of Artificial Intelligence in Superconducting Devices

Superconducting device has revolutionized various fields, with applications ranging from medical imaging to power transmission. However, further advancements require addressing challenges related to efficiency, reliability, cost, and complexity. Artificial intelligence (AI) offers promising solutions to these challenges, enabling the development of more efficient, reliable, and cost-effective superconducting systems. This paper introduces the recent advances of AI in superconducting device, such as magnetic imaging (MRI), superconducting cable and superconducting motor. Several challenges hinder the widespread adoption of AI in applied superconductivity, such as benchmark models, real-time inference, and community acceptance, are proposed. By addressing these issues, AI’s transformative power will unlock new possibilities, leading to ground-breaking advancements and widespread applications across various fields of superconducting devices.