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Found 3 papers, 2 papers with code
Quantum machine learning with adaptive linear optics
We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine - either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap.
Distributing Graph States Over Arbitrary Quantum Networks
Multipartite entangled states are great resources for quantum networks.
Quantum Physics
Anonymity for practical quantum networks
Quantum communication networks have the potential to revolutionise information and communication technologies.
Quantum Physics
