StrEnQTh SIGNED

Project "StrEnQTh" data sheet

The following table provides information about the project.

 Partnership

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 Project objective

This project addresses a frontier of modern quantum physics, entanglement in strongly correlated many-particle systems. At present, despite its importance for fundamental phenomena and potential applications, many-body entanglement is poorly understood theoretically and eludes experimental investigations. Three fundamental challenges are blocking further progress: there are infinitely many classes of many-body entangled states, the calculation of real-time quantum dynamics is inherently difficult, and the quantification of many-particle entanglement remains a hard experimental challenge.

StrEnQTh adopts a radically novel approach to force a breakthrough in each of these challenges, concentrating on specific targets motivated by next-generation AMO setups. 1. By designing a dedicated quantum resource theory, I will establish a novel framework for topological long-range entanglement. 2. By implementing crucial improvements on a tensor-network method, thermalization dynamics in gauge theories becomes tractable, especially hydrodynamization after heavy-ion collisions. 3. By exploiting the untapped potentials of time-reversing quantum dynamics and measuring high-order correlations, mixed-state entanglement becomes accessible. Further, by introducing a new paradigm of detection by dissipation, unequal-time correlators become available as a novel toolset for witnessing many-body entanglement. To achieve these goals, StrEnQTh builds on (i) my expertise at the interface of quantum optics and information with quantum many-body theory; (ii) previous works and preliminary results that minimize risks; (iii) fruitful synergies between the goals; (iv) a high versatility of the developed methods.

The impact of this project will reach far beyond its immediate field. It will elucidate fundamental theoretical questions of relevance to strongly correlated matter at large, and it will deliver a new generation of detection tools that can find application in other platforms.

 Publications