Samuel T. Dawkins

Deterministic single ion implantation of rare-earth ions for nanometer resolution colour center generation

Karin Groot-Berning [1], Thomas Kornher, Georg Jacob [1], Felix Stopp [1], Samuel T. Dawkins [3], Roman Kolesov, Jörg Wrachtrup, Kilian Singer [3], Ferdinand Schmidt-Kaler [1]

Abstract

Single dopant atoms or dopant-related defect centers in a solid state matrix provide an attractive platform for quantum simulation of topological states, for quantum computing and communication, due to their potential to realize a scalable architecture compatible with electronic and photonic integrated circuits. The production of such quantum devices calls for deterministic single atom doping techniques because conventional stochastic doping techniques are cannot deliver appropriate architectures. Here, we present the fabrication of arrays of praseodymium color centers in YAG substrates, using a deterministic source of single laser-cooled Pr$^+$ ions. The beam of single Pr$^+$ ions is extracted from a Paul trap and focused down to 30(9) nm. Using a confocal microscope we determine a conversion yield into active color centers up to 50% and realizing a placement accuracy of better than 50 nm.

Microscopy with a Deterministic Single Ion Source

Georg Jacob [1], Karin Groot-Berning [1], Sebastian Wolf [1], Stefan Ulm [1], Luc Couturier [1], Samuel T. Dawkins [1], Ulrich G. Poschinger [1], Ferdinand Schmidt-Kaler [1], Kilian Singer [2]

Abstract

We realize a single particle microscope by using deterministically extracted laser cooled $^{40}$Ca$^+$ ions from a Paul trap as probe particles for transmission imaging. We demonstrate focusing of the ions with a resolution of 5.8$\;\pm\;$1.0$\,$nm and a minimum two-sample deviation of the beam position of 1.5$\,$nm in the focal plane. The deterministic source, even when used in combination with an imperfect detector, gives rise to much higher signal to noise ratios as compared with conventional Poissonian sources. Gating of the detector signal by the extraction event suppresses dark counts by 6 orders of magnitude. We implement a Bayes experimental design approach to microscopy in order to maximize the gain in spatial information. We demonstrate this method by determining the position of a 1$\,μ$m circular hole structure to an accuracy of 2.7$\,$nm using only 579 probe particles.