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Learning entanglement breakdown as a phase transition by confusion. (arXiv:2202.00348v3 [quant-ph] UPDATED)
Oct. 17, 2022, 1:12 a.m. | M.A. Gavreev, A.S. Mastiukova, E.O. Kiktenko, A.K. Fedorov
cs.LG updates on arXiv.org arxiv.org
Quantum technologies require methods for preparing and manipulating entangled
multiparticle states. However, the problem of determining whether a given
quantum state is entangled or separable is known to be an NP-hard problem in
general, and even the task of detecting entanglement breakdown for a given
class of quantum states is difficult. In this work, we develop an approach for
revealing entanglement breakdown using a machine learning technique, which is
known as 'learning by confusion'. We consider a family of quantum …
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