pith:4I7GMOHO
Closed-form Bayesian quantum estimation of Gaussian states
A restriction to polynomial operators in quadratures reduces Bayesian quantum estimation of Gaussian states to closed-form linear problems.
arxiv:2605.16978 v1 · 2026-05-16 · quant-ph
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Claims
We introduce a variational framework reducing the optimisation over measurements and estimators to a finite-dimensional linear problem and admitting closed-form solutions. This is achieved by restricting the analysis to operators polynomial in the canonical quadratures, leading to solutions with a geometric interpretation as orthogonal projections of the global optimum.
Restricting the measurement and estimator search to operators that are polynomials in the canonical quadratures is sufficient to produce solutions that are either optimal or near-optimal for the original unbounded problem.
A variational framework yields closed-form Bayesian estimators for Gaussian quantum states via polynomial quadrature operators and a global optimality condition.
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| First computed | 2026-05-20T00:03:34.149414Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/4I7GMOHOG7F4HL2EOUJSB3X6BG \
| 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: e23e6638ee37cbc3af44751320eefe09a59f40f72ba6dbdb4c306c3732f59d0c
Canonical record JSON
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