Machine learning optimizes adaptive quantum teleportation protocols to achieve higher fidelity than standard Bell-state methods in several noise models.
A new parameter set Θ ′ is accepted if it improves the reward: Θt+1 = ( Θ′ t,ifR(Θ ′ t)> R(Θ t), Θt,otherwise
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Beyond Bell Teleportation: Machine-Learned Adaptive Protocols
Machine learning optimizes adaptive quantum teleportation protocols to achieve higher fidelity than standard Bell-state methods in several noise models.