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FourQubitParentConstruction

Abstract

FourQubitParentConstruction: exact analytic statements for four-qubit white-noise compatibility.

Definition 1.1 (Compatible4).

Formalization. D5/S3/Quantum/Measurement/FourQubitParentConstruction.Compatible4 (✓ std3).

Citation. A. Bluhm, E. Evert, I. Klep, V. Magron, I. Nechita (2025). Inclusion constants for free spectrahedra with applications to quantum incompatibility. DOI: 10.48550/arXiv.2512.17706. URL: https://arxiv.org/abs/2512.17706v1.

Commentary.

Definition 2.13 (p. 12): “Let g ∈ ℕ, d ∈ ℕ, and kₓ ∈ ℕ for all x ∈ [g]. Let (Eᵢ∣ₓ)ᵢ∈[kₓ], x ∈ [g] be a collection of g d-dimensional POVMs. These measurements are compatible if there exists another d-dimensional POVM (Jᵢ₁,…,ᵢg)ᵢ₁∈[k₁],…,ᵢg∈[kg] such that” the marginal equality holds. Here g = 4, d = 2 and each outcome set is Bool. The sixteen functions Fin 4 → Bool index the joint outcomes; true denotes the positive sign.

Definition 1.2 (noisy).

Formalization. D5/S3/Quantum/Measurement/FourQubitParentConstruction.noisy (✓ std3).

Citation. A. Bluhm, E. Evert, I. Klep, V. Magron, I. Nechita (2025). Inclusion constants for free spectrahedra with applications to quantum incompatibility. DOI: 10.48550/arXiv.2512.17706. URL: https://arxiv.org/abs/2512.17706v1.

Commentary.

Definition 2.15 (p. 13): “Let k ∈ ℕ and let (Eᵢ)ᵢ∈[k] be a POVM. Let s ∈ [0, 1] be a noise parameter. Then, we define the POVM (Eᵢ(s))ᵢ∈[k] with” Eᵢ(s) := sEᵢ + (1 − s)I/k “as the noisy version of (Eᵢ)ᵢ∈[k].” Here k = 2 and real scalars act on complex matrices.

Definition 1.3 (endpoint).

Formalization. D5/S3/Quantum/Measurement/FourQubitParentConstruction.endpoint (✓ std3).

Source. Repository-derived.

Commentary.

The sharp retained-signal parameter is 2/√13.

Definition 1.4 (B).

Formalization. D5/S3/Quantum/Measurement/FourQubitParentConstruction.B (✓ std3).

Source. Repository-derived.

Commentary.

The real coordinates multiply the three Pauli matrices.

Theorem 1.5 (B_formula).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.B_formula (✓ std3). ∎

Source. Repository-derived.

Commentary.

The Pauli expansion gives these four complex matrix entries.

Theorem 1.6 (B_zero).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.B_zero (✓ std3). ∎

Source. Repository-derived.

Commentary.

The zero Bloch vector gives the zero matrix.

Theorem 1.7 (B_real_smul).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.B_real_smul (✓ std3). ∎

Source. Repository-derived.

Commentary.

The Bloch matrix is homogeneous for the real scalar action.

Theorem 1.8 (B_neg).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.B_neg (✓ std3). ∎

Source. Repository-derived.

Commentary.

Negating the vector negates its Bloch matrix.

Theorem 1.9 (B_sum).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.B_sum (✓ std3). ∎

Source. Repository-derived.

Commentary.

The Bloch expansion commutes with finite sums.

Theorem 1.10 (norm_sq_coords).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.norm_sq_coords (✓ std3). ∎

Source. Repository-derived.

Commentary.

The squared Euclidean norm is the sum of the three coordinate squares.

Theorem 1.11 (trace_B_mul).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.trace_B_mul (✓ std3). ∎

Source. Repository-derived.

Commentary.

The trace pairing of Bloch matrices is twice the real inner product.

Definition 1.12 (scalarB).

Formalization. D5/S3/Quantum/Measurement/FourQubitParentConstruction.scalarB (✓ std3).

Source. Repository-derived.

Commentary.

A scalar identity is added to the traceless Bloch matrix.

Theorem 1.13 (scalarB_sum).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.scalarB_sum (✓ std3). ∎

Source. Repository-derived.

Commentary.

Scalar and Bloch coordinates commute with finite sums.

Theorem 1.14 (scalarB_hermitian).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.scalarB_hermitian (✓ std3). ∎

Source. Repository-derived.

Commentary.

Real scalar and Bloch coordinates define a Hermitian matrix.

Theorem 1.15 (hermitian_decomposition).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.hermitian_decomposition (✓ std3). ∎

Source. Repository-derived.

Commentary.

Every Hermitian two by two matrix is reconstructed from its real trace and Bloch coordinates.

Theorem 1.16 (half_scalarB_double).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.half_scalarB_double (✓ std3). ∎

Source. Repository-derived.

Commentary.

Doubling both coordinates and multiplying the matrix by one half gives the original matrix.

Theorem 1.17 (half_scalarB_complement).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.half_scalarB_complement (✓ std3). ∎

Source. Repository-derived.

Commentary.

The complementary effect negates the Bloch vector and replaces the scalar by two minus that scalar.

Theorem 1.18 (scalarB_posSemidef_iff).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.scalarB_posSemidef_iff (✓ std3). ∎

Source. Repository-derived.

Commentary.

The determinant and diagonal entries give the necessary bound. At the boundary, the square identity expresses the matrix as a positive multiple of its conjugate-transpose square; adding a nonnegative scalar identity yields sufficiency.

Theorem 1.19 (half_scalarB_posSemidef_iff).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.half_scalarB_posSemidef_iff (✓ std3). ∎

Source. Repository-derived.

Commentary.

Multiplication by the positive scalar 1/2 preserves the positivity criterion.

Theorem 1.20 (endpoint_mem_Icc).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.endpoint_mem_Icc (✓ std3). ∎

Source. Repository-derived.

Commentary.

The sharp endpoint lies in the permitted retention interval.

Theorem 1.21 (compatible_of_parent).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.compatible_of_parent (✓ std3). ∎

Source. Repository-derived.

Commentary.

A POVM with these marginal sums establishes compatibility.

Theorem 1.22 (all_povms_compatible).

Proof. Machine-checked in Lean as D5/S3/Quantum/Measurement/FourQubitParentConstruction.all_povms_compatible (✓ std3). ∎

Source. Repository-derived.

Commentary.

A compact convex sign decomposition follows from the four-vector inequality and the projection theorem. Antipodal effects give a joint parent for unbiased measurements. Each biased effect is obtained by a stochastic channel from a unit-vector effect and the two deterministic effects; applying these channels to the parent preserves every marginal.

References