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

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Authors: Zhenyao Fang, Qimin Yan
Cited by: 1
References: 161

Abstract

Quantum defects with controllable optical and spin properties in solids have emerged as key platforms for quantum sensing, communication, and computation. In this Review, we examine the experimental and theoretical research frontiers on quantum defects. We discuss diverse host materials, including established wide-band-gap semiconductors and two-dimensional materials, and how their structural and electronic properties enable stable and coherent defect states. On the theoretical side, we summarize recent progress in first-principles methods for describing excited states and spin-related properties, and graph-based machine learning methods for predicting defect properties. Finally, we outline key challenges in experimental benchmarking and defect modeling, and point to future opportunities for inverse design and systematic discovery of functional quantum defects for next-generation quantum technologies. Quantum defects in solids are pivotal for advancing quantum sensing, communication, and computation, yet challenges remain in optimizing their properties. Here, the authors review experimental and theoretical advancements, highlighting diverse materials and innovative methods, and propose future directions for the systematic discovery and design of functional quantum defects.

Fields of Study & Subjects

2D Materials and Applications Electronic and Structural Properties of Oxides Machine Learning in Materials Science

Publication details

Journal / source
Communications Materials
Publisher
Springer Science and Business Media LLC
Volume
7
Issue
1
Publication date
18 June 2026
Language
EN