6 citations · 9 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2025
Machine Learning Enables Optimization of Diamond for Quantum Applications
Dane W. deQuilettes, Eden Price, Linh M. Pham +11
Spins in solid-state materials, molecules, and other chemical systems have the potential to impact the fields of quantum sensing, communication, simulation, and computing. In parti…
cond-mat.mtrl-sci2020★ 6 cited
Generation of nitrogen-vacancy ensembles in diamond for quantum sensors: Optimization and scalability of CVD processes
Andrew M. Edmonds, Connor A. Hart, Matthew J. Turner +17
Ensembles of nitrogen-vacancy (NV) centers in diamond are a leading platform for practical quantum sensors. Reproducible and scalable fabrication of NV-ensembles with desired prope…