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June 20, 2026Communications MaterialsOpen Access

Towards the predictive design of quantum defects for next-generation quantum technologies

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Authors

ZFZhenyao FangNortheastern UniversityQYQimin YanNortheastern University

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Overview

Review discusses advances in quantum defects, highlighting materials and methods for their discovery and design.

Key Points

  • The aim is to explore the properties and potential of quantum defects for future quantum technologies.
  • Examine experimental and theoretical advancements in quantum defects.
  • Discuss diverse host materials including wide-band-gap semiconductors and two-dimensional materials.
  • Summarize first-principles and machine learning methods for predicting defect properties.
  • Identified key challenges in experimental benchmarking of quantum defects.
  • Outlined innovative methods for defect property prediction using machine learning.
  • Highlighted opportunities for the systematic discovery of functional quantum defects.

Cite This Study

Fang et al. (2026) studied this question.

synapsesocial.com/papers/6a3631a1db0793dc1a5387d7https://doi.org/10.1038/s43246-026-01225-7
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  5. 5Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors2025