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Found 2 papers, 1 papers with code
Privacy-preserving machine learning with tensor networks
Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning architectures which could present advantages with respect to traditional ones.
A gentle introduction to Quantum Natural Language Processing
QNLP is a recent application of quantum computing that aims at representing sentences' meaning as vectors encoded into quantum computers.
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