Post-cut metadata from quantum circuit fragments enables high-accuracy inference of algorithm family, cut mechanism, and Hamiltonian structure via machine learning on fragment width, depth, and gate counts.
Reconstructing quantum circuits through side- channel information on cloud-based superconducting quantum comput- ers,
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Post-Cut Metadata Inference Attacks on Quantum Circuit Cutting Pipelines
Post-cut metadata from quantum circuit fragments enables high-accuracy inference of algorithm family, cut mechanism, and Hamiltonian structure via machine learning on fragment width, depth, and gate counts.