The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.
Here, we call a gateGentangling for wiresiandjiff there exists somen-qubit state|ψ⟩=|ψ i⟩ ⊗ |ψj⟩ ⊗ |ψrest⟩ such thatG|ψ⟩reduced to the(i, j)-subspace is entangled
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Measurement-based quantum machine learning
The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.