Quantum chaos of large and many body systems

Project funded by Research Council of Finland, grant 347365. Participating organisations named by the source: Aalto University. Funded amount: EUR 89,321, as stated by the source. Runs 2022-09-01 to 2023-08-31. Keywords: Mathematics. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS. Abstract given by the source: Quantum computers are machines that exploit the rules of quantum mechanics to potentially outperform even the fastest supercomputers. However, due to the interferences of the chaotic external world, quantum computers corrupt easily making it difficult to perform computations accurately. This makes it important to study the phenomenon of quantum scarring where some quantum states manage to escape chaos. Mathematics of quantum scarring is mostly studied in single body systems such as billiards or flows on surfaces. The purpose of this project in Aalto is to design new tools in mathematics that give us a new fundamental understanding of how chaos manifests in mathematical models of quantum systems. Our plan is to bridge the ideas from large single body quantum systems to many body systems, which will help us discover mechanisms to escape chaos. Our methods draw ideas from the rapidly advancing theory of large networks, which are ubiquitous in the modern day world of big data.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. Retrieved 2026-10-28. 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 "Quantum chaos of large and many body systems" is funded by the Research Council of Finland with a grant of EUR 89,321, running from September 1, 2022, to August 31, 2023, at Aalto University. It aims to develop mathematical tools to understand chaos in quantum systems. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.