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  • Departmental Colloquium Feb 13, 2020

    Non-Abelian States Beyond Localized Majorana Fermions

    Guest: Prof. Luiz Santos, Department of Physics, Emory University
    Thursday, February 13, 2020 3:30 pm - 4:30 pm
    Location: Physics Auditorium (202)

    Superconductivity and topological order are two of the fundamental pillars that support our understanding of phases of matter. The intersection of these two areas, topological superconductivity, is a fertile ground for scientific discoveries. In particular, topological superconductors have the important property of hosting non-Abelian states, the simplest example of which are Majorana fermion zero modes localized on the core of superconducting vortices. Non-Abelian states have attracted much attention as potential building blocks for fault-tolerant quantum computation and, consequently, much intellectual activity has been focused on understanding novel mechanisms to realize non-Abelian states. This colloquium will discuss two scenarios for the realization of non-Abelian quasiparticles beyond localized Majorana zero modes. First, I will describe how the interplay of topological order and superconductivity can lead to the realization of parafermions on interfaces and heterostructures formed by fractional quantum Hall states and superconductors. Parafermions realize a protected ground state degeneracy, in which rotations of the degenerate quantum states are realized by swapping pairs of parafermions. Second, I will introduce the concept of a pair-density wave in even denominator paired quantum Hall systems as a state where the pairing order parameter breaks rotation symmetry. Remarkably, in this setting, the pairing function has domain walls that give rise to a Fermi sea of delocalized Majorana fermions, which is an example of a symmetry protected gapless state. Along the way, I will discuss connections of this pair-density wave theory with recent experiments in nematic fractional quantum Hall states.

     

    1. Phys. Rev. X 9, 021047 (2019)
    2. Phys. Rev. Lett. 118, 136801 (2017) 
    3. arXiv: 1906.07188 to appear in Phys. Rev. Research
  • Workshop Feb 17, 2020

    The 33rd Annual CSP Workshop

    Monday, February 17, 2020 9:00 am - Friday, February 21 12:00 pm
    Location: CSP Conference Room (322)

    Recent Developments in Computer Simulation Studies in Condensed Matter Physics

    February 17-21, 2020

    This annual workshop series highlights advances in applications, algorithms, and parallel implementations of computer simulation methods for the study of condensed matter systems. Topics of interest include, but are not limited to, Monte Carlo, molecular dynamics, and other numerical studies of material growth, structural and magnetic phase transitions, polymers, surfaces and interfaces, strongly correlated electron systems and exotic quantum phases, granular flow, diffusion, membranes and protein folding. Graduate student participation is encouraged.

  • Departmental Colloquium Feb 20, 2020

    GPU Molecular Dynamics: Algorithims, Performance and Examples

    Guest: Prof. Dennis C. Rapaport, Department of Physics, Bar-llan University, Israel
    Thursday, February 20, 2020 3:30 pm - 4:30 pm
    Location: Physics Auditorium (202)

    Computer studies of complex physical phenomena, especially those utilizing MD (molecular dynamics) simulation, are often resource intensive. Supercomputer architecture, now mainly based on highly parallel GPUs (graphics processing units), is becoming increasingly complicated, so that designing efficient algorithms is a far more difficult task than it once was. Following a brief historical introduction, GPU architecture will be outlined, and novel GPU algorithms surveyed. MD methods will then be reviewed, and some of the unique demands they impose on the GPU described and resolved, with emphasis on the performance gains. The talk concludes with a discussion of several MD studies of emergent phenomena. Lessons learned while adapting MD for the GPU should be valuable in other contexts where compatibility between algorithms and hardware may not be apparent.

  • Special Seminar Mar 12, 2020

    Chaotic Markers in C. elegans

    Guest: Dr. Jenny Magnes, Vassar College
    Thursday, March 12, 2020 2:00 pm - 3:00 pm
    Location: CSP Conference Room (322)

    In a dynamic far-field diffraction experiment, we use the optical fluctuations in the diffraction pattern to calculate the largest Lyapunov exponent to characterize the locomotory predictability of an oversampled microscopic species. We use a live nematode, Caenorhabditis elegans, as a model organism to demonstrate our method. One point in the visible diffraction pattern allows for the monitoring of the relative phase of all points on the nematode in time. This single time-series displays chaotic markers in the locomotion of the Caenorhabditis elegans by reconstructing the multidimensional phase space. The average largest Lyapunov exponent (base e) associated with the dynamic diffraction of ten adult wildtype (N2) Caenorhabditis elegans is 1.443 +- 0.040 1/s.

    Traditionally, the locomotion of microscopic species is studied through visual inspection under a microscope which is often combined with video analysis . There are several benefits in diffraction studies that provide information complementary to classical microscopy. Diffraction allows the species to be probed in more natural environments than conventional microscopy because diffraction is tied to an image plane. Another feature of diffraction microscopy is rooted in subtle changes in the plasticity of the object that can be detected to less than a wavelength without a microscope. Diffraction microscopy complements traditional microscopy by using light to process information embedded in the structure of the species hence saving computing power. Fraunhofer diffraction lends itself to optically process data through diffraction as the pattern evolves in time which can produce a single time series by probing a point in the diffraction pattern. Consequently, the time series contains information about the time evolution of every single point outlining the object. In this work, we demonstrate that condensing locomotion optically into a single time-series allows for the use of readily available complex systems tools.

  • Departmental Colloquium Aug 27, 2020

    Uncovering a New Universality at a 1st Order Phase Transition

    Guest: Prof. David Landau, Center for Simulational Physics, University of Georgia
    Thursday, August 27, 2020 3:55 pm - 4:55 pm
    Location: Zoom Meeting

    Understanding principles of critical exponents and Universality at 2nd order phase transitions was a triumph of late 20th century physics. In contrast, 1st order transitions appeared to be boring. We will show how Monte Carlo simulations, together with experiment and theory, reveal unexpected behavior at a 1st order phase transition. To do this we examine the 1st-order “spin-flop” transition between the Ising-like antiferromagnetic state and the canted, XY-like state found in many anisotropic antiferromagnetic materials. Finite-size scaling for a 1st-order phase transition where a continuous symmetry is broken is developed using an approximation of Gaussian probability distributions. Predictions are compared with data from Monte Carlo simulations of an anisotropic Heisenberg antiferromagnet in a magnetic field. Our theory predicts that for large linear dimension the field dependence of all moments of the order parameters as well as the 4th-order cumulants exhibit universal intersections that can be expressed in terms of a factor q that characterizes the relative degeneracy of the ordered phases. Our theory yields simply q = π, independent of temperature!, and the agreement with numerical data implies a heretofore unknown Universality for 1st-order phase transitions.
     
    Thursday, August 27, at 3:55PM.
  • CSP Lunch Seminar Sep 1, 2020

    Synchronization of Stochastic Circadian Clock Oscillators

    Guest: Lingyun Wu, Center for Simulational Physics, University of Georgia
    Tuesday, September 1, 2020 12:45 pm - 1:45 pm
    Location: Zoom Meeting

    Join Zoom Meeting: https://zoom.us/j/96665749477

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