NEDQIT: NanoEngineered Diamond for Quantum Information Technology

Project funded by French National Research Agency (ANR), grant ANR-06-NSCI-0005. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2019-12-24); national funding data, not CORDIS. Abstract given by the source: The primary long-term objective of this project is to place single atoms in nanostructured - diamond to engineer scalable quantum logic elements. The ability to control the position of individual quantum systems is the fundamental key for the development single atom devices. In the case of quantum computing, precise control of the internal quantum states is also required. We have identified promising impurity atoms in diamond that are optically active and have very long coherence times, even at room temperature. Optical technology for addressing individual atoms will be implemented for read-out of quantum information encoded in the spin of an individual atom. A secondary short-term objective is to develop efficient diamond-based single-photon sources for quantum communication. - Finally, combining the technology of precise doping of single atoms with optical control has the - potential to extend well beyond the standard paradigms of quantum information and spintronics.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of French National Research Agency (ANR). Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The NEDQIT project, funded by the French National Research Agency, aims to engineer scalable quantum logic elements using single atoms in nanostructured diamond. It focuses on controlling quantum states and developing diamond-based single-photon sources for quantum communication. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.