Publications (23)
Graphlet Histogram Representation Database of Inorganic Crystals
Aaditya Panigrahi, Yanjun Liu, Omri Lesser +2
Machine learning models for materials property prediction increasingly rely on representations learned end-to-end from large density-functional-theory databases, limiting their app…
One-dimensional topological superconductivity based entirely on phase control
Omri Lesser, Yuval Oreg, Ady Stern
Topological superconductivity in one dimension requires time-reversal symmetry breaking, but at the same time it is hindered by external magnetic fields. We offer a general prescri…
Theory of reentrant superconductivity in Corbino Josephson junctions
Omri Lesser, Joon Young Park, Yuval Ronen +3
Josephson junctions made of conventional superconductors display Fraunhofer-like oscillations of the critical current as a function of the threaded magnetic flux. When the supercon…
Electron affinity difference distributions guide the discovery of the superconductor PtPbBi
Omri Lesser, Yanjun Liu, Natalie Maus +11
Predicting the superconducting transition temperature () from crystal structure and composition remains a central challenge in condensed-matter physics, reflecting the absence…
Charting the emergent low-dimensional manifold of quantum materials
Jason Z. Kim, Omri Lesser, Debanjan Chowdhury
The periodic table of elements transformed chemistry by revealing simple organizing principles underlying atomic behavior. Despite decades of effort, no analogous framework has eme…
Electron Interference as a Probe of Majorana Zero Modes
Nadav Drechsler, Omri Lesser, Yuval Oreg
Detecting Majorana zero modes (MZMs) in topological superconductors remains challenging, as localized non-topological states can mimic MZM signatures. Here, we propose electron int…
Three-phase Majorana zero modes at tiny magnetic fields
Omri Lesser, Karsten Flensberg, Felix von Oppen +1
Proposals for realizing Majorana fermions in condensed matter systems typically rely on magnetic fields, which degrade the proximitizing superconductor and plague the Majoranas' de…
Trial wavefunction for fractional quantum spin Hall insulators
Omri Lesser, Chao-Ming Jian
Fermions with opposite spins occupying half-filled conjugate Chern bands exhibit interaction physics distinct from their multi-component Landau-level counterparts with the same chi…
Current Flow in Topological Insulator Josephson Junctions due to Imperfections
Kiryl Piasotski, Omri Lesser, Adrian Reich +5
Recent experiments on planar superconductor-topological insulator-superconductor (S-TI-S) junctions, e.g., in Corbino geometry, have reported low-temperature nonzero Josephson curr…
Proximity-Induced Superconductivity in Epitaxial Topological Insulator/Graphene/Gallium Heterostructures
Cequn Li, Yi-Fan Zhao, Alexander Vera +16
The introduction of superconductivity to the Dirac surface states of a topological insulator leads to a topological superconductor, which may support topological quantum computing…
Topological superconductivity in carbon nanotubes with a small magnetic flux
Omri Lesser, Gal Shavit, Yuval Oreg
We show that a one-dimensional topological superconductor can be realized in carbon nanotubes, using a relatively small magnetic field. Our analysis relies on the intrinsic curvatu…
Emblems of pair density waves: dual identity of topological defects and their transport signatures
Omri Lesser, Chunli Huang, James P. Sethna +1
The pair density wave (PDW) exemplifies intertwined orders in strongly correlated systems. A recent discovery of superconductivity in a quarter-metal state offers the first experim…
Majorana zero modes induced by superconducting phase bias
Omri Lesser, Yuval Oreg
Majorana zero modes in condensed matter systems have been the subject of much interest in recent years. Their non-Abelian exchange statistics, making them a unique state of matter,…
Melting point depression of charge density wave in 1T-TiSe due to size effects
Saif Siddique, Mehrdad T. Kiani, Omri Lesser +13
Classical nucleation theory predicts size-dependent nucleation and melting due to surface and confinement effects at the nanoscale. In correlated electronic states, observation of…
Competing nonlinearities, criticality, and order-to-chaos transition in deep networks
Omri Lesser, Debanjan Chowdhury
Deep neural networks owe their expressive power to nonlinear activation functions. The effective field theory of signal propagation at initialization reveals a few distinct univers…
Josephson junction arrays as a platform for topological phases of matter
Omri Lesser, Ady Stern, Yuval Oreg
Two-dimensional arrays of superconductors separated by normal metallic regions exhibit rich phenomenology and a high degree of controllability. We establish such systems as platfor…
Universal phase diagram of topological superconductors subjected to magnetic flux
Omri Lesser, Yuval Oreg
We perform a theoretical study of the orbital effect of a magnetic field on a proximity-coupled islands array of topological superconductors. To describe the system,…
Gaplessness from disorder and quantum geometry in gapped superconductors
Omri Lesser, Sagnik Banerjee, Xuepeng Wang +3
It is well known that disorder can induce low-energy Andreev bound states in a sign-changing, but fully gapped, superconductor at junctions. Generically, these excitations are…
Renormalization-group-inspired neural networks for computing topological invariants
Gilad Margalit, Omri Lesser, T. Pereg-Barnea +1
We show that artificial neural networks (ANNs) can, to high accuracy, determine the topological invariant of a disordered system given its two-dimensional real-space Hamiltonian. F…
Emergence of quasiperiodic Bloch wave functions in quasicrystals
Omri Lesser, Ron Lifshitz
We study the emergence of quasiperiodic Bloch wave functions in quasicrystals, employing the one-dimensional Fibonacci model as a test case. We find that despite the fact that Bloc…
Phase-induced topological superconductivity in a planar heterostructure
Omri Lesser, Andrew Saydjari, Marie Wesson +2
Topological superconductivity in quasi-one-dimensional systems is a novel phase of matter with possible implications for quantum computation. Despite years of effort, a definitive…
Learning from almost nothing: How neural networks survive heavy input corruption
Justin Tahmassebpur, Asadullah Bhuiyan, Hyejin Kim +1
Learning from imperfect data is a central theme in machine learning, connecting practical questions of robustness to fundamental questions of learnability. Here we examine attribut…
Vortex-parity-controlled diode effect in Corbino topological Josephson junctions
Joon Young Park, Thomas Werkmeister, Jonathan Zauberman +11
Nonreciprocal supercurrents in Josephson junctions have recently emerged as a sensitive tool for investigating broken symmetries in superconducting quantum materials. Here, we repo…