RESEARCH / Focused target
Dicke optimality for detector-sensor identification
RELEASED FOUNDATIONS / PROPOSED CONNECTION
Research connections
All source anchors (1)
- D5/S3/Quantum/Measurement/DetectorSensorDickeOptimality.resultAbsent from this graph
Problem
The question
C. Zhan, H. Gupta and M. Hillery, Optimizing Initial State of Detector Sensors in Quantum Sensor Networks, arXiv:2306.17401v6, ACM Transactions on Quantum Computing 5(2), Article 10, DOI 10.1145/3655028, Section 5, Conjecture 1, asks whether a state with uniform coefficient-squares on a minimizing weight partition is an optimal initial state. The Library note contains the source quotation and locators.
There are $n\ge3$ qubit sensors, one firing event with equal priors $1/n$, and a unitary with eigenvalues $e^{i\theta}$ and $e^{-i\theta}$. Write $q=\lceil n/2\rceil$ and $T=\tfrac12\arccos(-(q-1)/q)$. The conjecture concerns $\theta\in(0,T]\cup[\pi-T,\pi)$. For a tensor eigenbasis word $x$, its weight is the number of plus eigenvectors. For two distinct sensors, $R_k$ and $L_k$ count weight-$k$ words whose selected bits agree or differ. Every minimizing $l$ of $(R_k+\cos(2\theta)L_k)/(R_k+L_k)$, over $0\le k\le n$, is allowed. The proposed state has coefficient-squares $1/\binom nl$ on weight $l$ and zero elsewhere, with arbitrary phases.
Statement echo
| Source clause | Lean counterpart | Fidelity |
| --- | --- | --- |
| Qubit tensor eigenbasis | Fin n → Bool, true for the plus eigenvector | A coordinate representation of all pure input states |
| One firing event at sensor $i$ | fire | The local eigenphase multiplies each coefficient |
| Equal priors and global POVM | isoSuccess; the frozen TriangleIndependentSourceNoise.LocalPOVM | Positive semidefinite effects sum to the identity; no locality restriction |
| $n\ge3$ | n, hn in claim | Includes every permitted sensor number |
| Both angle intervals and threshold endpoints | T, the disjunction in claim | Radians replace degrees without changing the intervals |
| Every minimizing partition | l, l ≤ n, IsMinOn on Set.Iic n | The selected distinct sensor indices have values zero and one |
| Uniform coefficient-squares, arbitrary phases | φ, the pointwise Complex.normSq hypothesis | The weight-cardinality expression is inlined literally |
| Any normalized competing pure state | ψ, the sum of norm-squares equals one | No symmetry assumption on the competitor |
| Optimal initial state | For every M, an attaining M' with the success comparison | result : claim proves the universal comparison |
The natural division in T gives $\lceil n/2\rceil$. Fin-index proof
fields witness index bounds and impose no additional hypothesis.
The existing LocalPOVM supplies the stated POVM definition directly.
The weight expression is inlined rather than duplicated beside the
existing I-level DynamicCoolingParallelTieUniqueness definition;
the settling module has generality G. No source clause is dropped.
Motivation
Our foothold
The settlement supplies a globally optimal pure probe on the stated angle range, including arbitrary coefficient phases. It removes the need to assume probe symmetry or to prove the source's stronger strict-averaging Conjecture 2 before concluding Conjecture 1.
Gap
Missing bridges
Issue #16668 preregisters the published named conjecture, the complete quantifiers, the first-tier classification and the source and literature screen. No prior settlement was located in that screen. Literature completeness is ASSUMED-UNVERIFIED; the bounded screen does not prove publication priority or exhaustive absence of another proof.
Route
Proposed approach
The settling module is
D5/S3/Quantum/Measurement/DetectorSensorDickeOptimality.lean.
Its private helpers reduce a measurement to a feasible Gram
decomposition, average over sensor permutations, bound the resulting
constant-overlap objective and construct an attaining measurement.
The public surface consists of fire, isoSuccess, rCount, lCount,
T, claim and the single settling theorem result.
The proof uses the published frozen owner theorems
AntidistinguishabilityGram.hermitian_projection_complement_psd,
AntidistinguishabilityGram.matrix_penrose_exists and
AntidistinguishabilityGram.psd_summand_projection in
gram_decomposition_to_povm; the complementary-projection theorem also
supplies Q_psd. The trace bound uses
RHLinalg.trace_mul_nonneg_of_posSemidef, owned by RankTrace.
The weight-class count uses Mathlib's Finset.card_powersetCard
through a word-to-finset equivalence. Positive-semidefinite
Cauchy–Schwarz uses Mathlib's matrix-induced inner-product structures
and inner_mul_inner_self_le.
The admission basis is open-problem-resolution (#16668; Proved).
The declaration classification is bind-only after expansion to frozen
owners and pinned Mathlib; no escape witness is claimed. Every private
helper has a named consumer. Utility is none: there is no fixed
numerical certificate in the settling module.
This is deposit-uncovered, with no atom or coverage edge. The Gram
owner is re-pinned by the canonical ledger-align --selector writer.
Falsifier
What would falsify this route
An admissible angle, a minimizing partition, a proposed state, a
normalized competing state and a global POVM whose success exceeds
every measurement on the proposed state would contradict claim.
The theorem quantifies over all such choices; a finite numerical
search alone does not prove the universal statement.
Evidence
Evidence to collect
D5.S3.Quantum.Measurement.DetectorSensorDickeOptimality.result
has type claim. The axiom closure of every public declaration is
contained in ${\mathrm{propext},\mathrm{Classical.choice},\mathrm{Quot.sound}}$.
The Scribe carries one Proved OpenProblemResolutionClaim on result.
The four-slot escape audit is unfinished under
#16824.
Its targets are result and the three published Gram owner theorems
listed in Route. No Reg mirror is retained and no declared_validated
registration is claimed. Exact source reconstruction, variation,
sensitivity and actual observational-dependence evidence remain missing.
The independent numerical evidence is the
pinned experiment directory.
At that revision, run
python3 docs/reports/zhan-gupta-hillery-2024-global-dicke-optimality/check.py
from the experiments repository. The implementation seat reran those
exact bytes as python3 /tmp/op-zgh/check.py, exit 0, ALL_OK.
The script SHA-256 is
6801a065b0f1dc2b867eb1280fb4b2ea30729e927c4d08e9d94c4cfb901d445a.
The tested scope is $n\in{3,4,5}$ and
$\theta/T\in{0.25,0.5,0.8,1}$, with twelve random competitors per
setting. The numerical readings are stated in Triage; no experiment
program or data is embedded here.
Triage
Scope assessment
What the settlement shows
Mechanism — kernel-checked. N_psd, sum_N and isoSuccess_gram
give the feasible Gram decomposition and its objective.
avgN_psd, sum_avgN and avgN_objective prove that relabeling
averages preserve feasibility and the objective.
average_gram_overlap identifies the averaged constraint as
$(1-\bar c)I+\bar cJ$, where $J$ is the all-ones matrix.
moment_bounds and overlap_bounds give $\bar c\ge c_$, with
$c_=1-4\lfloor n^2/4\rfloor\sin^2\theta/(n(n-1))$.
constant_overlap_certificate supplies the square-root certificate
$H=\sqrt aP+\sqrt bQ$, where $P=J/n$, $Q=I-P$,
$a=1+(n-1)\bar c$ and $b=1-\bar c$.
d_antitone and global_success_upper_bound give the bound
$d(\bar c)^2\le d(c_*)^2$, where
$d(c)=(\sqrt{1+(n-1)c}+(n-1)\sqrt{1-c})/n$.
ratio_minimizer_balanced, dicke_gram and dicke_attainment
identify the minimizing-weight Gram matrix and an attaining
square-root measurement. These are consumed private theorems in the
settling module; result is their public universal conclusion.
Concavity and permutation invariance — proved in prose. For a positive
semidefinite Gram matrix $G$, let $F(G)$ be the supremum of
$n^{-1}\sum_i(N_i)_{ii}$ over positive semidefinite families with
$\sum_iN_i=G$. For $n\ge3$ this feasible set is nonempty by assigning
$G$ to one outcome and zero to the others. Every objective is between
zero and $\operatorname{tr}(G)/n$, since $0\preceq N_i\preceq G$. For $0\le t\le1$, feasible families for $G_1$ and $G_2$
give the feasible family $tN_i+(1-t)N'_i$ for $tG_1+(1-t)G_2$,
with the corresponding convex combination of objectives. Taking suprema
gives $F(tG_1+(1-t)G_2)\ge tF(G_1)+(1-t)F(G_2)$.
Simultaneously permuting the indices and outcome labels is an invertible
map of feasible families that preserves the objective, so $F$ is
permutation invariant. The expression in G_phase is affine in the
coefficient-squares. This explains the averaging mechanism; no separate
Lean declaration of the abstract function $F$ is retained.
Pure permutation-symmetric optimum — proved in prose from the
kernel-checked conclusion. The finite nonempty set of weights
$0,\ldots,n$ has a ratio minimizer. Choose coefficient
$1/\sqrt{\binom nl}$ on each weight-$l$ word and zero elsewhere.
There are $\binom nl$ such words, so the state is normalized and has
the prescribed coefficient-squares. Permutations preserve weight
and the coefficients, hence preserve this pure state. Applying
result proves its optimality on the stated range. This consequence
is not a separate retained Lean theorem.
Both middle weights for odd $n$ — proved in prose from the
kernel-checked conclusion. The count identity in ratio_formula
expresses the ratio as
$1-4k(n-k)\sin^2\theta/(n(n-1))$.
For $n=2m+1$, the integer product $k(n-k)$ is maximized at both
$k=m$ and $k=m+1$, with value $m(m+1)=\lfloor n^2/4\rfloor$:
$(k-m)(k-m-1)\ge0$ for every integer $k$ proves the upper bound.
Thus both weights minimize the ratio, and result gives optimality
for both. Their Gram matrix is the same by dicke_gram, so
dicke_attainment gives the same success $d(c_*)^2$.
No separate odd-weight public theorem is retained.
Error-position identification challenge — proved in prose for the
same range and model. Skotiniotis–Llorens–Hotz–Calsamiglia–Muñoz-Tapia,
arXiv:1808.02729, Physical Review Research 6, 033329, Conclusions,
asks whether pure permutation-symmetric probes suffice. A common
unitary change of qubit basis diagonalizes the one-site unitary;
its tensor power conjugates every global effect and transforms every
probe, preserving normalization and Born probabilities. In this
eigenbasis, its single-position, equal-prior pure-probe model is
exactly fire and isoSuccess. The equal-phase construction above
therefore answers that challenge for $n\ge3$ on the stated two
intervals. This model correspondence and interpretation are proved
in prose, not a separate Lean theorem. The full-angle combination,
ancillary-probe reduction and mixed-probe reduction remain open here.
Source consequences — proved conclusion; open stronger premise. The settlement establishes Conjecture 1 directly, supplying the optimality conclusion of the source's Theorem 3 without its strict-averaging Conjecture 2. It does not prove Conjecture 2 or change the hypotheses or conclusions of the source's other results.
Extensions — open. Unequal priors, multiple simultaneous firing
events and noisy channels are outside claim and are not settled
by this module.
Literature — bounded screen, completeness ASSUMED-UNVERIFIED.
The source and literature checks in #16668 are orchestrator-verified.
The supplementary readings are reported by codex-cli research seat
ccb43553212229ba9d007bfa: Zhan's thesis, ProQuest 30991761,
Chapter 5, leaves the conjectures as future work; Chin–Chuang,
Physical Review A 111, 052447, DOI 10.1103/PhysRevA.111.052447,
establishes symmetric zero-error sensor existence and does not
settle minimum-error initial-probe optimality for nonorthogonal
outputs. The screen includes Semantic Scholar citations of both
source papers, relevant full texts and titles/abstracts of other
citing works. Not every citing full text was inspected. No prior
settlement was located in that scope.
Experiment — computed, finite scope. For the twelve tested $(n,\theta/T)$ settings, the phase-independence error is at most $3.3\times10^{-16}$. The independent iterative Dicke optimum agrees with $d(c_*)^2$ at displayed precision; at $n=4$ and $\theta=T/2$ both are $0.75$. The twelve random competitors per setting stay below that bound. The certificate's smallest computed eigenvalue is at least $-8.5\times10^{-17}$. These floating-point checks are not proofs of exact positive semidefiniteness, certified optima or any untested extension. The experiment entry in Evidence supplies the command, revision, exit code and script SHA-256.
ASSUMED-UNVERIFIED
Unverified assumptions
Literature completeness and publication priority are not established. Supplementary literature readings are research-seat reports. Four-slot escape registration is unfinished under #16824. The full-angle combination, ancillary and mixed probes, unequal priors, multiple firing events and noisy channels are not settled.