pith:YUND3VSG
$\mathcal{O}(n)$ alternative to Quantum Fourier Transform with efficient neural net classical post-processing
An O(n) circuit using Hadamards and controlled-phase gates can replace the O(n squared) quantum Fourier transform in Shor's algorithm with neural-net post-processing.
arxiv:2605.16998 v1 · 2026-05-16 · quant-ph · cs.LG
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Claims
The O(n) HP-1 can replace the O(n^2) QFT in Shor's algorithm, as demonstrated numerically, with an efficient neural network implementing classical post-processing.
That the neural network post-processing can reliably extract the hidden subgroup generator from the measurement statistics of the HP-1 circuit for arbitrary problem sizes without requiring resources that grow exponentially with n or failing under realistic noise.
HP-1 circuits achieve O(n) depth while preserving shift invariance and exponentially growing Fisher information, enabling numerical replacement of the QFT in Shor's algorithm with neural net classical post-processing.
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Receipt and verification
| First computed | 2026-05-20T00:03:35.196470Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c51a3dd64626b33155c502a5ad6bbf3f84ea4c54ff7f4c1369aa8bb24fe238dc
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/YUND3VSGE2ZTCVOFAKS22257H6 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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