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Extending the scope of Reduced Density Matrix Functional Theory for bosons

CORDIS · observation · Publication date unknown

onal theory to systems with broken symmetries, heterogeneous mixtures of bosonic systems, dipolar gases, and bosonic systems at finite temperatures. Our methodology combines analytical approaches and machine learning implementations, in which we have already gained strong expertise. We believe that the achievement of these objectives will offer a range of fascinating possibilities. Just to mention a few, any trap potential could be considered and linear response coefficients become easily accessible. Furthermore, in analogy to many-body localization for electrons, the influence of disorder and interparticle interactions on BECs can be studied in a more direct manner. Universal properties of dipolar gases and bosonic mixtures in the relevant regimes of supersolidity and droplets can potentially be unveiled. Reduced density matrices, non-perturbative approaches, highly correlated quantum systems, Bose-Einstein condensation, machine learning, machine learning for quantum systems, ultra-cold gases

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recordType

award

status

CLOSED

region

EU

value

188590.08

unit

EUR