Quantum Cafe: Eun-Ah Kim

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Quantum Café is CCQ’s ongoing seminar series: open to all bona fide members of the greater NYC scientific community and held every second week, Quantum Café presents a series of informal, highly interactive talks, typically by external speakers, which present the most interesting recent developments and open questions in our field.

Title: Learning Quantum Matter Data, Synthetic and Real, with AI

Abstract: Decades of efforts in improving computing power and experimental instrumentation were driven by our desire to better understand the complex problem of quantum emergence. However, increasing volume and variety of data made available to us today present new challenges.  I will discuss how these challenges can be embraced and turned into opportunities by employing machine learning. Learning quantum emergence with AI requires collective wisdom of applied math, computer science, and condensed matter physics.  I will discuss interpreting what machine learned from synthetic data and gaining new insights and accelerating discovery from experimental data.

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