Machine learns quantum complexity
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DOI: 10.1007/s40042-025-01529-w
Abstract: We study how a machine based on deep learning algorithms learns Krylov spread complexity in quantum systems with N x N random Hamiltonians drawn from the Gaussian unitary ensemble. Using thermofield double states as initial… read more here.
Keywords: spread complexity; learns quantum; machine; complexity ... See more keywords