pith:LS6LU542
T Count as a Numerically Solvable Minimization Problem
The minimal T-count for implementing a unitary is found by binary search over continuous minimization problems that prove solvable in practice.
arxiv:2603.25101 v2 · 2026-03-26 · quant-ph · cs.ET
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Claims
We demonstrate that these problems are numerically solvable in practice.
The continuous relaxation and numerical minimization accurately detect the existence of a discrete T-count circuit without being trapped in local minima that would produce false negatives on feasible counts.
T-count minimization is cast as a binary search over continuous minimization problems, demonstrated numerically solvable for small-qubit circuits with reproduction of known results and extended via partitioning to larger circuits.
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Receipt and verification
| First computed | 2026-05-20T00:00:37.083222Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cbcba779abfbb26ce343d73ed928456eacdee1bdd0b06bca6b3ca05f2b2805f
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LS6LU542X65SNTRUHVZ63EUEK3 \
| 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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