Quantum Big Data: Where Condensed Matter meets Quantum Computing

Efficient verification and description of quantum devices are critical for emerging technological applications. Digital quantum computing and condensed matter physics approach these challenges from different directions, yet at the same time there is a wealth of physical models that emerge at the center of both approaches.

In this talk, Eliška Greplova offers a perspective on quantum error correction through the lens of learning algorithms for many-body systems, efficient wave-function representations and rich phase diagrams.

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