Reconstructing quantum states with generative models

29 Jul 2019 Carrasquilla Juan Torlai Giacomo Melko Roger G. Aolita Leandro

A major bottleneck in the quest for scalable many-body quantum technologies is the difficulty in benchmarking their preparations, which suffer from an exponential `curse of dimensionality' inherent to their quantum states. We present an experimentally friendly method for density matrix reconstruction based on deep neural-network generative models... (read more)

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  • QUANTUM PHYSICS
  • STRONGLY CORRELATED ELECTRONS