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.
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BURY heuristic partitions graph states across QPUs by minimizing maximum matching sizes between partitions, requiring fewer Bell pairs than standard k-partition methods and lowering cut-rank.
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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.
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Quantum Hamlets: Distributed Compilation of Large Algorithmic Graph States
BURY heuristic partitions graph states across QPUs by minimizing maximum matching sizes between partitions, requiring fewer Bell pairs than standard k-partition methods and lowering cut-rank.