The paper characterizes families of d-dimensional unitaries and qubit Pauli channels that admit masking through bipartite broadcasting channels, with an iff condition that a qubit channel masks against the identity precisely when it is unital and possesses a pure-state fixed point.
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Machine learning optimizes adaptive quantum teleportation protocols to achieve higher fidelity than standard Bell-state methods in several noise models.
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Quantum Channel Masking
The paper characterizes families of d-dimensional unitaries and qubit Pauli channels that admit masking through bipartite broadcasting channels, with an iff condition that a qubit channel masks against the identity precisely when it is unital and possesses a pure-state fixed point.
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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.