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TUE: Tuesday Contributed Sessions
TUE 2: Quantum Networks: Technologies
TUE 2.4: Talk
Tuesday, September 9, 2025, 15:00–15:15, ZHG002
Automated Large-Scale Characterization of Solid-State Color Centers for Quantum Communication — •Julian M. Bopp1,2, Maarten H. van der Hoeven1, Marco E. Stucki1,2, Tommaso Pregnolato1,2, and Tim Schröder1,2 — 1Department of Physics, Humboldt-Universität zu Berlin, 12489 Berlin, Germany — 2Ferdinand-Braun-Institut (FBH), 12489 Berlin, Germany
Extending quantum networks toward a global quantum internet requires the serial-production of standardized building blocks, including highly efficient spin-photon interfaces. Due to variations in the local environment of optically active solid-state spin qubits, like diamond color centers, their quality differs spatially across sample substrates. Consequently, all spin qubits have to be characterized thoroughly before incorporating them into quantum network building blocks. However, characterization experiments are time-consuming since they regularly involve addressing qubits manually with a confocal microscope.
Paving the way toward the deterministic fabrication of quantum network building blocks on the wafer scale, we present the fully automated large-scale characterization of such solid-state qubits employing a combined widefield and confocal microscope. Moreover, we employ means of artificial intelligence to classify hundreds of acquired spectra and second-order correlation functions. Our approach enables the automated selection of qubits that are best suitable for quantum networking and the statistical investigation of sample treatment effects on the qubits [1].
[1] E. Corte et al., Adv. Photonics Res. 3, 2100148 (2021)
Keywords: Color Center; Large-Scale Characterization; Automation; Widefield Microscope; Artificial Intelligence