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Machine Learning the Disorder Landscape of Majorana Nanowires
Jacob R. Taylor, Jay D. Sau, Sankar Das Sarma
We develop a practical machine learning approach to determine the disorder landscape of Majorana nanowires by using training of the conductance matrix and inverting the conductance…
Theory for dissipative time crystals in coupled parametric oscillators
Stuart Yi-Thomas, Jay D. Sau
Discrete time crystals are novel phases of matter that break the discrete time translational symmetry of a periodically driven system. In this work, we propose a classical system o…
Symmetric, off-diagonal, resistance from rotational symmetry breaking in graphene-WSe heterostructure: prediction for a large magic angle in a Moire system
Jay D. Sau, Sumanta Tewari
We show that any two-dimensional system with a non-zero \textit{symmetric} off-diagonal component of the resistance matrix, , must have the in-plane rotationa…
Optical pumping of electronic quantum Hall states with vortex light
Deric Session, Mahmoud Jalali Mehrabad, Nikil Paithankar +13
A fundamental requirement for quantum technologies is the ability to coherently control the interaction between electrons and photons. However, in many scenarios involving the inte…
Half unit cell shift defect induced helical states in Fe-based chalcogenide superconductors
Tamoghna Barik, Jay D. Sau
Recent scanning tunneling spectroscopy along crystalline domain-walls associated with a half unit cell shift have revealed sub-gap density of states that are expected to arise from…
Spectral properties, topological patches, and effective phase diagrams of finite disordered Majorana nanowires
Sankar Das Sarma, Jay D. Sau, Tudor D. Stanescu
We consider theoretically the physics of bulk topological superconductivity accompanied by boundary non-Abelian Majorana zero modes in semiconductor-superconductor (SM-SC) hybrid s…