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Big Data Conference 2024
September 6, 2024 - September 7, 2024      9:00 am
https://cmsa.fas.harvard.edu/event/bigdata_2024/   On  September 6-7, 2024, the CMSA will host the tenth annual Conference on Big Data. The Big Data Conference features speakers from the...
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  • CMSA EVENT: CMSA Topological Quantum Matter: Controlling Quantum Matter with Quantum Cavity Fields

    Speaker: Vasil Rokaj – Harvard University

    10:00 AM-11:00 AM
    December 7, 2022
    20 Garden Street, Cambridge, MA 02138

    Cavity modification of material properties and phenomena is a novel research field motivated by the advances in strong light-matter interactions~[1]. For condensed matter systems it has been demonstrated experimentally that the transport properties of 2D materials can be modified via coupling to vacuum fields~[2,3]. While in polaritonic chemistry it has been shown that ground state chemical properties can be controlled with cavity fields~[4].  In the first part of my talk, I will present how the quantized cavity field can alter the conduction  properties of a condensed matter system by focusing on the paradigmatic Sommerfeld model of the free electron gas~[5]. The exact analytic solution of the Sommerfeld model in the cavity will be presented as well as its fundamental properties. Then, in the second part of the talk, I will focus on a many-particle system of cold ions in a harmonic trap coupled to the cavity field. I will show how this system couples collectively to the cavity and that hybrid states between light and matter, known as polaritons, emerge. The formation of polaritons leads to the modification of the properties of the cold ions and enhances the localization of the many-body wave function~[6]. Connections to experiments will be discussed as well.

     

    [1] F. Garcia-Vidal, C. Ciuti, T. W. Ebbesen, Science, 373, 178 (2021)

    [2] G. L. Paravicini-Bagliani et al., Nat. Phys. 15, 186-190 (2019)

    [3] F. Appugliese et al., Science 375 (6584), 1030-1034 (2022)

    [4] T. W. Ebbesen, Acc. Chem. Res. 49, 11, 2403–2412 (2016)

    [5] V. Rokaj, M. Ruggenthaler, F. G. Eich, A. Rubio, Phys. Rev. Research 4, 013012 (2022)

    [6] V. Rokaj, S.I. Mistakidis, H.R. Sadeghpour, arXiv:2207.03436 (2022)

     

    For more information on how to join, please see: https://cmsa.fas.harvard.edu/event_category/topological-quantum-matter-seminar/

  • CMSA EVENT: CMSA New Technologies: How do Transformers reason? First principles via automata, semigroups, and circuits

    Speaker: Cyril Zhang – Microsoft Research

    2:00 PM-3:00 PM
    December 7, 2022
    20 Garden Street, Cambridge, MA 02138

    The current “Transformer era” of deep learning is marked by the emergence of combinatorial and algorithmic reasoning capabilities in large sequence models, leading to dramatic advances in natural language understanding, program synthesis, and theorem proving. What is the nature of these models’ internal representations (i.e. how do they represent the states and computational steps of the algorithms they execute)? How can we understand and mitigate their weaknesses, given that they resist interpretation? In this work, we present some insights (and many further mysteries) through the lens of automata and their algebraic structure.

    Specifically, we investigate the apparent mismatch between recurrent models of computation (automata & Turing machines) and Transformers (which are typically shallow and non-recurrent). Using tools from circuit complexity and semigroup theory, we characterize shortcut solutions, whereby a shallow Transformer with only o(T) layers can exactly replicate T computational steps of an automaton. We show that Transformers can efficiently represent these shortcuts in theory; furthermore, in synthetic experiments, standard training successfully finds these shortcuts. We demonstrate that shortcuts can lead to statistical brittleness, and discuss mitigations.

    Joint work with Bingbin Liu, Jordan Ash, Surbhi Goel, and Akshay Krishnamurthy.


    This seminar will be held in person and on Zoom. For more information on how to join, please see: https://live-hu-cmsa-222.pantheonsite.io/event_category/new-technologies-in-mathematics-seminar-series/

  • CMSA EVENT: CMSA Probability Seminar: Fourier quasicrystals and stable polynomials

    Speaker: Lior Alon – MIT

    3:30 PM-4:30 PM
    December 7, 2022

    The Poisson summation formula says that the countable sum of exp(int), over all integers n, vanishes as long as t is not an integer multiple of 2 pi. Can we find a non-periodic discrete set A, such that the sum of exp(iat), over a in A, vanishes for all t outside of a discrete set? The surprising answer is yes. Yves Meyer called the atomic measure supported on such a set a crystalline measure. Crystalline measures provide another surprising connection between physics (quasicrystals) and number theory (the zeros of the Zeta and L functions under GRH). A recent work of Pavel Kurasov and Peter Sarnak provided a construction of crystalline measures with ‘good’ convergence (Fourier quasicrystals) using stable polynomials, a family of multivariate polynomials that were previously used in proving the Lee-Yang circle theorem and the Kadison-Singer conjecture. After providing the needed background, I will discuss a recent work in progress with Cynthia Vinzant on the classification of these Kurasov-Sarnak measures and their supporting sets. We prove that these sets have well-defined gap distributions. We show that each Kurasov-Sarnak measure decomposes according to the irreducible decomposition of its associated polynomial, and the measures associated with each irreducible factor is either supported on an arithmetic progression, or its support has a bounded intersection with any arithmetic progression. Finally, we construct random Kurasov-Sarnak measures with gap distribution as close as we want to the eigenvalues spacing of a random unitary matrix.

    Based on joint work with Pravesh Kothari.


     

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  • CMSA EVENT: CMSA Quantum Matter in Mathematics and Physics: Fluctuations in Two-Dimensional Superconductors and Pseudogap Phenomenon

    Speaker: Yang Qi – Fudan

    9:00 AM-10:30 AM
    December 20, 2022

    We study the phase fluctuations in the normal state of a general two-dimensional (2d) superconducting system with s-wave pairing. The effect of phase fluctuations of the pairing fields can be dealt with perturbatively using disorder averaging, after we treat the local superconducting order parameter as a static disordered background. It is then confirmed that the phase fluctuations above the 2d Berenzinskii-Kosterlitz-Thouless (BKT) transition give birth to the pseudogap phenomenon, leading to a significant broadening of the single-particle spectral functions. Quantitatively, the broadening of the spectral weights at the BCS gap is characterized by the ratio of the superconducting coherence length and the spatial correlation length of the superconducting pairing order parameter. Our results are tested on the attractive-U fermion Hubbard model on the square lattice, using unbiased determinant quantum Monte Carlo method and stochastic analytic continuation. We also apply our method to 2d superconductors with d-wave pairing and observe that the phase fluctuations may lead to Fermi-arc phenomenon above the BKT transition.


    For more information on how to join, please see: CMSA quantum matter in mathematics and physics

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