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near-term-quantum-computing

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ugail / quantum-neural-networks-compile-once-and-relabel

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Compiling equivariant quantum neural networks can break their symmetry at the structural level, with up to 22.5% CZ-count asymmetry between symmetry-related sparse-graph inputs on IBM Heron's Fez. We classify ansätze by where the input enters and fix the affected case via compile-once-and-relabel.

transpiler quantum-computing symmetry quantum-machine-learning qiskit geometric-deep-learning equivariance quantum-neural-networks variational-quantum-circuits quantum-compilation equivariant-neural-networks ibm-heron near-term-quantum-computing
  • Updated Apr 28, 2026
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