pith:DCK7WD6V
Provable Quantization with Randomized Hadamard Transform
Dithered quantization after randomized Hadamard transform matches the error of dense random rotations at linearithmic cost.
arxiv:2605.13810 v1 · 2026-05-13 · cs.LG · cs.DS
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Record completeness
Claims
A dithered version of TurboQuant achieves mean squared error (π√3/2 + o(1)) · 4^{-b} at b bits per coordinate, where the o(1) term vanishes uniformly over all unit vectors and all dimensions as the number of quantization levels grows.
The analysis assumes the input vectors are unit vectors and relies on the asymptotic regime where the number of quantization levels grows; the uniformity claim over all dimensions and vectors may require additional technical conditions on the dither distribution that are not fully detailed in the abstract.
Dithered quantization after a single randomized Hadamard transform yields unbiased estimates whose MSE asymptotically equals that of dense random rotations, specifically (π√3/2 + o(1))·4^{-b} for b-bit TurboQuant.
References
Receipt and verification
| First computed | 2026-05-18T02:44:15.402305Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1895fb0fd55efe7c410936020d01b9bdf634b18ab5816bb150b69d7360ccb8cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DCK7WD6VL37HYQIJGYBA2ANZXX \
| 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())"
# expect: 1895fb0fd55efe7c410936020d01b9bdf634b18ab5816bb150b69d7360ccb8cb
Canonical record JSON
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