Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session J09: DCOMP Prize Session: Rahman and MetropolisInvited Live Prize/Award
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Sponsoring Units: DCOMP Chair: Amy Liu, Georgetown University |
Tuesday, March 16, 2021 3:00PM - 3:36PM Live |
J09.00001: Aneesur Rahman Prize for Computational Physics (2020): What have we learned from Dynamical Mean Field Theory and what lies ahead? Invited Speaker: Antoine Georges Dynamical Mean-Field Theory (DMFT) provides an original physical perspective on strongly correlated electron materials, as well as an efficient computational framework to understand and predict their properties. In this talk, I will review the main ideas at the heart of the DMFT construction and physical perspective. Through select examples, I will outline how the efforts of a whole community over almost three decades have managed to develop the theory to such a point that it can successfully be applied to a real material, taking into account its structure and chemical composition. I will also outline how the theory is being extended and generalized in many fruitful directions. |
Tuesday, March 16, 2021 3:36PM - 4:12PM Live |
J09.00002: Aneesur Rahman Prize for Computational Physics (2020): Towards a Theory of Strongly Correlated Materials Invited Speaker: Gabriel Kotliar
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Tuesday, March 16, 2021 4:12PM - 4:48PM Live |
J09.00003: Aneesur Rahman Prize for Computational Physics (2021): Lattice models of deconfined quantum criticality and related phenomena Invited Speaker: Anders Sandvik The quantum phase transition between an antiferromagnet and dimerized state in two-dimensional quantum magnets can be studied within a class of J-Q models, where the Heisenberg exchange J competes with Q terms inducing correlated local singlets. This type of transition is associated with spinon deconfinement and emergent symmetry. Though the ultimate nature of the transition - continuous or very weakly first-order - is still controversial, it is by now clear that the signatures of deconfinement are manifested up to very large length scales and the phenomenology of deconfinement applies. I will here discuss a number of extensions of the original J-Q model which allow access to phenomena related to deconfined criticality but that were not part of the original scenario. (1) Emergent O(4) and O(5) symmetry can appear even when the transition is clearly first-order. (2) The dimerized phase develops into a helical (winding) phase in the presence of certain spatial modulation of the J interactions. (3) In the presence of coupling disorder the dimerized phase develops into a critical random-singlet phase with universal static correlations and varying dynamic exponent. I will illustrate these cases with quantum Monte Carlo results and also connect with recent experiments on frustrated quasi-2D quantum magnets. |
Tuesday, March 16, 2021 4:48PM - 5:24PM Live |
J09.00004: Nicholas Metropolis Award for Outstanding Doctoral Thesis Work in Computational Physics (2020) Invited Speaker: Giacomo Torlai Machine learning offers a set of flexible and powerful algorithms to enhance the capabilities of quantum simulation platforms. Artificial neural networks trained on measurement data can be integrated in the experimental stack for a variety of tasks, such as error mitigation, detecting quantum phase transitions and improving the measurement precision. I will review a data-driven framework for reconstructing quantum states prepared by experimental quantum hardware. Once trained, the neural networks can be used to deliver precise measurements of specialized observables that are either costly or not accessible in the original experimental setup. I will present results for a cold Rydberg-atom quantum simulator and quantum chemistry calculations on a superconducting quantum hardware. |
Tuesday, March 16, 2021 5:24PM - 6:00PM Live |
J09.00005: Nicholas Metropolis Award for Outstanding Doctoral Thesis Work in Computational Physics (2021): Correlation-enhanced electron-phonon interactions in oxide superconductors from linear-response GW perturbation theory Invited Speaker: Zhenglu Li A general, accurate and practical ab initio treatment of electron-phonon (e-ph) coupling is essential to the understanding of many excited-state phenomena. In this talk, I will present a new ab initio linear-response method named GW perturbation theory (GWPT) [1] that computes the e-ph interaction with the inclusion of the GW nonlocal, energy-dependent self-energy effects, going beyond the commonly used density-functional perturbation theory, which is inadequate in some materials. We apply GWPT to study e-ph interaction in oxide superconductors. We first show that the e-ph coupling in Ba1-xKxBiO3 is significantly enhanced by many-electron correlations, and is strong enough to explain its high superconducting Tc of 32 K as well as its doping dependence [1]. Secondly, with this method, we study a two-decade-old mystery – a ubiquitous 70-meV dispersion kink in cuprates observed in angle-resolved photoemission experiments, whereas the debate on its physical origin is yet to be settled. I will show, with ab initio GWPT results on the prototypical cuprate La2-xSrxCuO4, that the computed correlation-enhanced e-ph interaction gives rise to strong nodal kinks in quantitative agreement with experiments [2]. This study also provides new insights to the observed doping dependence of the photoemission kink in the cuprates. |
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