Learning local Hamiltonians from local measurements
We propose an algorithm for learning unknown Hamiltonians with short-range interactions in time and measurements scaling linearly with system size, by learning each local patch independently.
E. Bairey, I. Arad, N. Lindner, Phys. Rev. Lett. 122, 020504 (2019). arXiv:1807.04564
Learning phase transitions from dynamics
We propose using recurrent neural networks for distinguishing between phases of matter based on their dynamics.
E. van Nieuwenburg, E. Bairey, G. Refael, Phys. Rev. B 98, 060301(R) (2018). arXiv:1712.00450
Driving-induced many-body localization
We show that an AC electric field can cause a weakly disordered system to enter the many-body localized phase.
E. Bairey, G. Refael, N. H. Lindner, Driving-induced many-body localization. Phys. Rev. B 96, 020201(R) (2017). arXiv:1702.06208
High-order species interactions shape ecosystem diversity
We find that when the interactions between pairs of species are modulated by additional species, addition of species can make communities more stable.
E. Bairey, E. D. Kelsic, R. Kishony, Nat. Commun. 7, 12285 (2016)
