A machine-learning pipeline generates entanglement witnesses with user-specified measurement settings and adversarial training, reporting higher noise tolerance than standard analytical witnesses across qubit and qudit states.
We use the eigenstates of generalized Pauli operators
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A Universal Entanglement Witness Generator
A machine-learning pipeline generates entanglement witnesses with user-specified measurement settings and adversarial training, reporting higher noise tolerance than standard analytical witnesses across qubit and qudit states.