FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
Balanced k-way hypergraph partitioning is cast as QUBO and higher-order binary problems for quantum optimization, with small-instance tests confirming effectiveness for the all-or-nothing cut on 3-uniform hypergraphs.
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FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Hardware-Motivated and Biased Noise Models
FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
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Quantum Hypergraph Partitioning
Balanced k-way hypergraph partitioning is cast as QUBO and higher-order binary problems for quantum optimization, with small-instance tests confirming effectiveness for the all-or-nothing cut on 3-uniform hypergraphs.