V
Valentina Ros
Researcher at Université Paris-Saclay
Publications - 24
Citations - 1231
Valentina Ros is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Energy landscape & Anderson impurity model. The author has an hindex of 10, co-authored 20 publications receiving 980 citations. Previous affiliations of Valentina Ros include International School for Advanced Studies & École Normale Supérieure.
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Integrals of motion in the many-body localized phase
TL;DR: In this article, a complete set of quasi-local integrals of motion for the many-body localized phase of interacting fermions in a disordered potential is constructed, under certain approximations, as a convergent series in the interaction strength.
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Local integrals of motion in many‐body localized systems
TL;DR: In this paper, the authors review the current status of the studies on the emergent integrability in many-body localized models and discuss the proposed numerical algorithms for the construction of local integrals of motions.
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Review: Local Integrals of Motion in Many-Body Localized systems
TL;DR: In this paper, the authors review the current status of the studies on the emergent integrability in many-body localized models and discuss the proposed numerical algorithms for the construction of local integrals of motion.
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Forward approximation as a mean-field approximation for the Anderson and many-body localization transitions
TL;DR: In this article, the authors analyzed the predictions of the forward approximation in some models which exhibit an Anderson (single-body) or many-body localized phase and showed that the results provided by the approximation become more and more accurate as the local coordination (dimensionality) of the graph, defined by the hopping matrix, is made larger.
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Complex Energy Landscapes in Spiked-Tensor and Simple Glassy Models: Ruggedness, Arrangements of Local Minima, and Phase Transitions
TL;DR: In this article, the authors developed a framework based on the Kac-Rice method that allows to compute the complexity of the landscape, i.e., the logarithm of the typical number of stationary points and their Hessian.