Creating a two-dimensional many-body quantum simulator

Project funded by Research Council of Finland, grant 375585. Participating organisations named by the source: Aalto University. Funded amount: EUR 699,271, as stated by the source. Runs 2026-09-01 to 2030-08-31. Keywords: Physical sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-06); national funding data, not CORDIS. Abstract given by the source: Quantum simulators mimic the behavior of quantum materials and processes, enabling more accurate modeling of complex quantum systems. Here, I will create a universal many-body quantum simulator based on quantum dots to more accurately model and understand exotic quantum materials. I will realize the universal simulator by employing a methodology that enables the precise positioning of single atoms in quantum dots on semiconducting surfaces using a scanning tunneling microscope. The universal simulator will then allow me to tune fundamental parameters such as electron interactions and lattice geometry, which are crucial for exploring correlated topological systems. This project will deepen our understanding of such systems and further strengthen the growing national capabilities in quantum technologies. The research will be carried out at Aalto University.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. 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 project 'Creating a two-dimensional many-body quantum simulator' is funded by the Research Council of Finland with EUR 699,271, running from September 1, 2026, to August 31, 2030, involving Aalto University to develop a universal quantum simulator. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.