Data-centric Learning of Quantum Matter скачать в хорошем качестве

Data-centric Learning of Quantum Matter

Eunah Kim, Cornell U https://eunahkim.ccmr.cornell.edu/peo... Talk details: https://sites.google.com/modelingtalk... Join group to receive calendar invite: https://groups.google.com/a/modelingt... Abstract: Modern quantum materials and quantum devices generate data that are simultaneously high-dimensional, heterogeneous, and constrained by rich physical structure. From diffraction movies and readout of quantum hardware to materials databases accumulated over decades, extracting interpretable insight from such data poses fundamental challenges for both physics-based modeling and machine learning. In this talk, I will present a unifying modeling perspective on learning quantum matter, highlighting how domain structure and machine learning tools an be combined to offer new insights and predictions. I will introduce several case studies developed at the interface of condensed-matter physics and machine learning: (i) Quantum Attention Networks (QuAN) that use self-attention to characterize of complex quantum states; (ii) X-TEC, a clustering evolving high-dimensional diffraction data, which has led to the discovery of Bragg glass order in disordered charge-density-wave systems; and (iii) GPTc that predict superconducting transition temperatures with calibrated uncertainty from heterogeneous experimental databases. Together, these examples illustrate how modern modeling—grounded in physics but enabled by machine learning—can turn complex quantum data into predictive understanding, while revealing new opportunities for collaboration between ML and the physical sciences. Bio: Eun-Ah Kim is the Hans Bethe Professor of Physics at Cornell University. A pioneer at the intersection of quantum many-body physics, quantum simulation and artificial intelligence. She is the director of NSF AI institute: AI-Materials Institute (AI-MI). Her contributions have been recognized with prestigious honors, including a Radcliffe Fellowship, two Simons Fellowships for Theoretical Physics, and election as a Fellow of the American Physical Society. She received her Ph.D. from the University of Illinois at Urbana-Champaign and completed postdoctoral research at Stanford University before joining the Cornell faculty in 2008. #modeling #simulation #ai #ml #research #materialsscience #quantumphysics #quantum #generativeai #physicalai #quantumcomputing #quantummaterials