A 16-qubit QGAN can approximate the first-byte distribution of SPHINCS+ signatures in simulation, but the result is a small-scale, unbenchmarked demonstration with no attack.
Mathematics12(23), 3852 (2024)
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Towards quantum machine learning for assessing the resilience of post-quantum cryptography
A 16-qubit QGAN can approximate the first-byte distribution of SPHINCS+ signatures in simulation, but the result is a small-scale, unbenchmarked demonstration with no attack.