Pauli problem in dimension 4
Abstract
The finite-dimensional Pauli problem asks how many measurements in orthonormal bases determine every pure state of a -level quantum system up to a global phase. Four bases always suffice, and the answer is known to be three for and four for and . Dimension four remained open because the embedding argument used in other dimensions fails there: the pure-state space embeds in , the space of the nine independent probabilities of three bases. We show that three bases do not suffice in \C^4, so exactly four are needed. The same argument shows that no ten vectors in \C^4 do phase retrieval. Since eleven vectors are known to suffice, the smallest phase-retrieval frame and the smallest rank-one POVM distinguishing all pure states in \C^4 both have eleven elements. All three lower bounds follow from one statement: every six-dimensional real space of traceless Hermitian matrices with a common isotropic vector, that is, a nonzero with for all in the space, contains a nonzero matrix of rank at most two. We prove it with complex -theory: otherwise, an odd unitary map on the five-sphere would have a -class that is nonzero by antipodal symmetry but vanishes because of the isotropic vector.
Introduction
In 1933, Pauli asked whether the position and momentum distributions of a particle determine its wave function up to a constant phase [1]. They do not: distinct wave functions can share both distributions [2]. The question has a natural finite-dimensional version. Measuring the pure state of a unit vector in an orthonormal basis produces the probabilities
These probabilities fix the moduli of the coordinates of in the basis but not their relative phases, which must be recovered by measuring in further bases. Let be the minimum number of orthonormal bases of whose measurement statistics distinguish every pair of distinct pure states. We require uniqueness for every state; reconstructing almost every state, as in [3], is a different problem.
Wright conjectured that three bases suffice in every dimension, as reported by Vogt in 1978 [2]. Moroz claimed a proof in 1983. In an erratum, he explained that the proof does not work for all pure states and credited Gromov with an argument showing that at least four bases are needed in large dimensions; see [4] for this history. The argument is topological: measurement data that distinguish all pure states embed the
Date: September 2026.
2020 Mathematics Subject Classification. Primary 81P15, 81P18; Secondary 15B57, 19L64, 42C15, 94A12.
Key words and phrases. Pauli problem, pure-state tomography, phase retrieval, orthonormal bases, Hermitian matrix spaces, Bott periodicity, complex -theory. pure-state manifold in a Euclidean space whose dimension is the number of independent probabilities, which is for three bases. Moroz and Perelomov spelled it out and excluded three bases for [6], and the bounds of Heinosaari, Mazzarella, and Wolf exclude them for [7]. In the other direction, four generic bases distinguish all pure states [8], and Jaming gave an explicit construction of four such bases in every dimension [5], presented in detail by Carmeli, Heinosaari, Schultz, and Toigo [4]. Carmeli et al. collected these results, together with arguments for small dimensions, into the bounds [4]
Among dimensions , dimension four is the only one that the embedding argument cannot reach. Three bases of produce at most nine independent probabilities, and does embed smoothly in [9]. Excluding three bases in therefore requires an argument that uses the form of the measurement, not only the topology of the pure-state space. An earlier partial result of this kind excludes bases of a special form: four product bases of , each built from two orthonormal bases of , do not distinguish all pure states [4].
The same gap appears in complex phase retrieval. There the measurement vectors are arbitrary, and the intensity measurements must determine every up to a global phase; we then say that the vectors do phase retrieval and call a phase-retrieval frame. In quantum terms, a rank-one positive operator-valued measure (POVM) is a measurement whose effects are rank-one operators summing to the identity. Every phase-retrieval frame can be normalized to such a POVM without changing its number of vectors, and conversely (Lemma 5.1). Finkelstein showed that a rank-one POVM distinguishing all pure states needs at least outcomes, which is ten for [10]. Bandeira, Cahill, Mixon, and Nelson predicted that fewer than vectors never do phase retrieval and that generic vectors do [11]. The second statement was proved by Conca, Edidin, Hering, and Vinzant, for every number of generic vectors [13]. The first fails in : Vinzant’s frame of eleven vectors, one fewer than , determines every vector of up to phase [14]. Before this work, the smallest phase-retrieval frame in was thus known to have ten or eleven vectors. Wang and Shang showed that three bases distinguishing all pure states in would yield a rank-one POVM with ten outcomes that also does so [15]. Excluding rank-one POVMs with ten outcomes would thus also exclude three bases.
In this work we close both gaps.
Theorem 1.1 (Minimal numbers of bases, vectors, and outcomes in dimension four). Exactly four orthonormal bases are needed to distinguish all pure states in ; that is, . Exactly eleven vectors are needed for complex phase retrieval in , and exactly eleven outcomes are needed for a rank-one POVM that distinguishes all pure states in .
The upper bounds come from Jaming’s four-basis construction and Vinzant’s eleven-vector frame; our contribution is the three lower bounds. They follow from a statement about the Hermitian matrices orthogonal to all measured effects. Let be the real vector space of Hermitian matrices, equipped with the Hilbert–Schmidt inner product , and let be its traceless subspace. Two states give the same statistics exactly when their difference is orthogonal to every measured effect [7]. We call a nonzero vector a common isotropic vector of a real subspace if for every .
Theorem 1.2 (Common isotropic vector obstruction). Every six-dimensional real subspace with a common isotropic vector contains a nonzero matrix of rank at most two.
The hypotheses of Theorem 1.2 are exactly what the measurements supply. The effects of three bases, or of a rank-one POVM with at most ten outcomes, span a subspace of of dimension at most ten that contains the identity and a rank-one effect . Its orthogonal complement therefore has dimension at least , consists of traceless matrices, and has as a common isotropic vector. A nonzero traceless matrix of rank at most two has the form with orthonormal and . The matrix supplied by Theorem 1.2 thus exhibits two orthogonal pure states with identical statistics. In Section 2 we carry out this reduction and show that a single rank-one operator in the measured span already suffices.
The common isotropic vector is what lets us exclude dimension six. Without it, six is the best bound we know. Causin showed that a real subspace of in which every nonzero matrix has rank at least three has dimension at most six [19]. For traceless subspaces, the same bound follows from the topological lower bound of Heinosaari, Mazzarella, and Wolf [7] together with Lemma 2.1. Theorem 1.2 shows that dimension six is not attained by a traceless subspace with a common isotropic vector, and the dimension six cannot be lowered (Remark 6.1). Whether dimension six is attained by some traceless subspace is equivalent to the open question of whether a general ten-outcome POVM can distinguish all pure states in (Section 6).
Proof idea
Suppose that every nonzero matrix in has rank at least three. We compute one topological invariant in two ways: the class in of an odd unitary-valued map on the unit sphere of . The model case is the Dirac map. Let be pairwise anticommuting matrices with , for instance
where are the Pauli matrices. On the unit sphere , the map
is unitary and odd. Because is odd with values in , its class is nonzero (Lemma 3.1): a null-homotopy would make four copies of the complexified tautological line bundle over stably trivial, which Atiyah’s computation forbids. The matrix size four and the sphere dimension five enter the argument at this point. On the equator , the map is Hermitian with eigenvalues , each of multiplicity two. Lemma 3.2 shows that can be nonzero only if the negative spectral bundle over this four-sphere has nonzero degree-four Chern character.
For the space we build the same structure intrinsically. A small odd perturbation of the cubic takes the place of . If , the characteristic polynomial of is even, so the eigenvalues of come in pairs , and excludes . Hence, for a small perturbation, every on the zero set of is invertible with two positive and two negative eigenvalues. It follows that is invertible on the whole unit sphere of , and its unitary polar factor is odd, so . The common isotropic vector now enters. Since , the vector lies neither in the positive nor in the negative spectral subspace of . Its projections onto these subspaces are therefore nowhere-vanishing sections of the two spectral bundles over . These sections force the degree-four Chern character to vanish, hence , a contradiction. The Dirac map escapes this contradiction because have no common isotropic vector (Remark 3.3).
The topological input consists of three standard computations in complex -theory: Atiyah’s calculation , injectivity of the Chern character on , and the description of the Bott periodicity isomorphism by clutching functions. We isolate these computations in Section 3; the rest of the proof consists of explicit spectral deformations and a Chern-class calculation.
Organization
Section 2 reduces the lower bounds in Theorem 1.1 to Theorem 1.2. Section 3 states the -theoretic input and proves two lemmas, one on odd unitary maps and one localizing the -class of a unitary polar factor at a hypersurface. Section 4 proves Theorem 1.2. Section 5 completes the proof of Theorem 1.1 by relating phase-retrieval frames to rank-one POVMs. Section 6 shows that Theorem 1.2 is sharp and discusses general POVMs and open problems.
From measurements to subspaces of Hermitian matrices
In this section we reduce the lower bounds in Theorem 1.1 to Theorem 1.2.
Let be the real span of the measured observables. Let be its orthogonal complement with respect to the Hilbert–Schmidt inner product: every satisfies for all . Two states give the same data precisely when their difference lies in . For pure states, this yields the following rank criterion [7] (Proposition 4 and Corollary 1); see also [11] (Lemma 9) for phase retrieval and [4] (Proposition 2) for bases.
Lemma 2.1 (Rank criterion). Let be a real subspace containing , and let . The expectations of the operators in distinguish all pure states if and only if contains no nonzero matrix of rank at most two.
Proof. If distinct pure states give equal data, then has rank at most two. Conversely, orthogonality to makes every matrix in traceless. By the spectral theorem, a nonzero traceless Hermitian matrix of rank at most two has the form , where are orthogonal unit vectors and . If , the states and therefore give identical data.
A rank-one operator forces for every , so is a common isotropic vector of . Together with a dimension count, this isotropy is all that Theorem 1.2 requires.
Proposition 2.2 (Reduction to a single rank-one operator). Suppose contains and a nonzero rank-one positive operator. If , its expectations do not distinguish all pure states.
Proof. Write the rank-one operator as , with and . Since , the orthogonal complement has dimension at least six. Choose a six-dimensional subspace . Orthogonality to and gives and for every . Theorem 1.2 supplies a nonzero matrix of rank at most two in , so by Lemma 2.1 the expectations do not distinguish all pure states.
For three bases , with , write . Each basis resolves the identity, so the measured span contains and satisfies
By (4), the effects of three bases span at most ten dimensions. Likewise, if a rank-one POVM has at most ten nonzero effects, these effects span at most ten dimensions and sum to . Both spans contain a rank-one positive operator, so Proposition 2.2 yields the following consequence of Theorem 1.2.
Corollary 2.3 (Lower bounds for bases and rank-one POVMs). Neither three orthonormal bases of nor a rank-one POVM on with at most ten nonzero effects can distinguish all pure states.
We prove Theorem 1.2 in Section 4, after developing the topological tools in Section 3. The matching upper bounds and the statement for phase retrieval follow in Section 5.
The topological input
The contradiction in Section 4 concerns a unitary map on whose -theory class is nonzero by antipodal symmetry but vanishes by a spectral-bundle calculation. In this section we prove the two corresponding lemmas from basic properties of -theory and Chern classes, together with three standard computations in complex topological -theory.
We first recall the objects involved. The group consists of formal differences of complex vector bundles over . The group consists of homotopy classes of unitary-valued maps on , where two maps are identified if they become homotopic after adjoining identity blocks. Pointwise multiplication of unitary maps adds their classes [16] (Lemma 2.4.6).
Concretely, means that can be deformed continuously to a constant map for some . Since is connected, basepoints play no role. We write for the trivial bundle of rank , and use integral cohomology for Chern classes and rational cohomology for the Chern character. The bundle calculation uses only the degree-four component of the Chern character; for every complex vector bundle [17],
Chern classes are natural under pullback and satisfy the Whitney sum formula [17]. The odd Chern character is obtained by identifying with , applying the Chern character, and using the suspension isomorphism [17]. Here denotes with a disjoint basepoint, and denotes the degree-five component of . We use the following three computations.
(i) The projective-space calculation. Let be the complexification of the tautological real line bundle over . Then
Here denotes reduced -theory, the subgroup of consisting of classes of virtual rank zero. The calculation (6) is part of Atiyah’s computation of the complex -theory of real projective spaces [16]. By Atiyah’s exact sequence, is a quotient of the representation ring , and its reduced part is cyclic of order eight. It is therefore generated by the image of , which is under . Restriction is an isomorphism.
(ii) Detection on the sphere. The odd Chern character is injective on :
This follows from Bott periodicity and the Chern-character calculation on even-dimensional spheres, transferred to odd spheres by suspension [17].
(iii) Clutching and Bott periodicity. Let be a subbundle of a trivial bundle over a compact space , where is the orthogonal projection onto . Let be a loop with and winding number . Acting by this phase on and by the identity on its complement gives the unitary map
The map is the identity at both ends of the interval, so it descends to the space
in which all boundary points are collapsed to one point. The degree-five odd Chern character of is
where is the suspension isomorphism. To see this, write , so that is a clutching function over . The bundle it clutches over is , where is the canonical line bundle over [17]. Since is trivial, the reduced class of this bundle is . Under the identification of with reduced of the suspension [16], the class therefore corresponds to , the image of under the Bott periodicity isomorphism [17]. Formula (9) follows because and generates , together with the definition of the odd Chern character by suspension [17].
The first lemma uses antipodal symmetry to build a bundle over , to which we apply (6).
Lemma 3.1 (An odd map has nonzero -class). If is continuous and satisfies , then in .
Proof. Suppose that , and choose and a homotopy from to a constant map. Then , for and , extends to a continuous map . Regard as the disk with antipodal boundary points identified. In this model, is the quotient of by the boundary identifications
On the boundary, oddness gives , which is exactly the compatibility needed for the columns of to descend to this quotient. Since is unitary, these columns are sections that are linearly independent in every fiber. The bundle is therefore trivial, so
Relation (10) contradicts (6), because has order eight.
The second lemma reduces the vanishing of the -class of a unitary polar factor to a Chern-character calculation on a regular hypersurface.
Lemma 3.2 (Localization at a regular zero set). Let , let be smooth with a regular value, and suppose is nonempty. Let be smooth and invertible on , and let be its negative spectral bundle. If is the unitary polar factor of , then
Proof. Deformation to the form (8). The matrix is invertible: a real eigenvalue of can cancel only when , where is invertible. We deform its polar factor into the form (8) near . Since is compact and is a regular value, on for small , and the flow of identifies this set with a tube whose normal coordinate is . Let be the negative spectral projection of . Replacing the eigenvalues of by their signs gives . Let be smooth, equal to 1 near zero and to 0 near the endpoints. Set in the tube and outside. The straight-line interpolation keeps invertible. Indeed, off the imaginary scalar part is nonzero, and on the interpolation from to preserves the sign of every eigenvalue. Thus is homotopic to the polar factor of .
In the tube, multiplies the positive spectral subspace by the phase and the negative one by , where
The scalar map extends to by taking outside the tube. Since is simply connected, has a continuous real argument and is null-homotopic. Dividing by therefore leaves its class in unchanged and gives
inside the tube and the identity outside. The loop in (11) starts and ends at 1 and has winding number : the argument of increases by , and .
Collapse to the suspension. Let collapse the complement of the tube to the basepoint and rescale the normal interval to . The map (12) is the pullback under of the map (3.4) with , , and the loop reparametrized to . By naturality and (3.5),
If , the right-hand side of (13) vanishes, and injectivity in (3.3) gives .
The proof uses neither connectedness of nor an orientation convention. The Dirac map (1.3) shows that the hypothesis in Lemma 3.2 is a genuine restriction.
Remark 3.3 (The Dirac map). Take , , and , with as in (1.2). Then 0 is a regular value of , the zero set is a four-sphere, and on . Since on , the polar factor is the Dirac map of (1.3). The map is odd, so by Lemma 3.1, and Lemma 3.2 forces . (Up to orientation, is the quaternionic Hopf bundle over , whose second Chern class generates .) Consequently, the span of has no common isotropic vector, since the argument of Section 4.3 applied to would otherwise give . The same conclusion follows directly from the identity for , which one checks by expanding in the Hilbert–Schmidt orthogonal basis of .
Proof of the common isotropic vector obstruction
In this section we prove Theorem 1.2. Let be a six-dimensional real subspace with a common isotropic vector , normalized so that . Assume for contradiction that every nonzero has rank at least three. We construct an odd unitary polar factor and use to verify the vanishing condition in Lemma 3.2. Put
The odd cubic selects a hypersurface on which the positive and negative spectral bundles both have rank two.
A regular hypersurface of matrices of signature (2,2)
Newton’s identities give
for every traceless Hermitian matrix . If , the characteristic polynomial (14) is divisible by , so by the spectral theorem . Our rank assumption therefore makes every invertible. On , the characteristic polynomial is even, so its roots occur in nonzero opposite pairs and has signature . Since invertibility and signature are stable under small perturbations, this signature persists on an open neighborhood of .
Lemma 3.2 requires to be a regular value, so we perturb the cubic while preserving oddness. For a sufficiently small , put
The map , , is a submersion: at , its derivative with respect to in the direction is . Parametric transversality therefore makes a regular value of for arbitrarily small choices of [18]. Since is compact and does not vanish there, has a positive minimum on . Since on , the Cauchy–Schwarz inequality gives , where . Choosing as above with therefore gives on , so . Oddness of makes nonempty. Thus is a closed smooth four-manifold consisting of invertible matrices of signature .
An odd unitary map
Adding the imaginary scalar gives an invertible family with antipodal symmetry. Indeed, when , the eigenvalues of have nonzero imaginary part; when , the matrix is invertible because . The unitary polar factor is therefore defined everywhere by
Since is odd, . Identifying with through a linear isometry , which commutes with , Lemma 3.1 gives
Two sections and a Chern-class calculation
The common isotropic vector now forces the same class to vanish. Over , let be the positive and negative spectral projections of , and let be their image bundles. The spectral gap at zero makes these smooth rank-two bundles, with
Both sections and are nowhere zero. Indeed, if either vanished, the nonzero vector would lie in the positive or the negative spectral subspace of , on which is definite, contradicting . Each section splits off a trivial line bundle, so .
Put and . The degree-two and degree-four terms of the identity , which follows from (17) and the Whitney sum formula, give
Consequently, by (5) and (18),
By the construction of and (19), all hypotheses of Lemma 3.2 hold for . Hence the map of (15) satisfies , contradicting (16). The contradiction proves Theorem 1.2, and with it Corollary 2.3.
Proof of the main theorem
Corollary 2.3 gives the lower bounds for bases and for rank-one POVMs. Jaming’s four-basis construction [5], as presented in [4], Proposition 4, matches the first bound, so , which settles the remaining case of (1). To complete Theorem 1.1, we transfer the POVM bound to phase-retrieval frames without changing their cardinality, and then apply Vinzant’s construction.
Lemma 5.1 (Phase-retrieval frames and rank-one POVMs). In every finite dimension, the minimum cardinality of a complex phase-retrieval frame equals the minimum number of nonzero effects of a rank-one POVM distinguishing all pure states.
Proof. Discarding zero vectors from a frame, or zero effects from a POVM, affects neither phase retrieval nor the property of distinguishing all pure states, so we assume that all vectors and effects are nonzero. Suppose recover every vector from its intensities up to a global phase. They span , because phase retrieval distinguishes every nonzero vector from , whereas all intensities vanish on the orthogonal complement of their span. Their frame operator is therefore positive definite, and the canonical Parseval frame associated with [12], Section 2 is
Equality of the -intensities for is equality of the -intensities for . Since is invertible, the normalized vectors retain phase retrieval, and their rank-one effects form a POVM distinguishing all pure states.
Conversely, let be the effects of a rank-one POVM distinguishing all pure states, and suppose give equal intensities. Summing the intensities gives . If this common norm is nonzero, the unit vectors and give the same statistics, so they define the same pure state, and because ; the zero case is immediate. Thus the vectors perform phase retrieval on all of .
That passing to the canonical Parseval frame preserves phase retrieval goes back to [12]; in the quantum setting, the same normalization by appears in [10] and in the rank-one conversion of [15].
By Corollary 2.3 and Lemma 5.1, no ten or fewer vectors do phase retrieval in . Vinzant’s eleven-vector frame [14] attains this bound, and its canonical Parseval frame ((20)) attains the POVM bound. With established above, this completes the proof of Theorem 1.1.
Discussion
We have shown that in a measured span of dimension at most ten that contains the identity and a single rank-one operator cannot distinguish all pure states (Proposition 2.2). Every rank-one Hermitian matrix is a real multiple of a rank-one positive operator. Hence, if a POVM on with ten outcomes distinguishes all pure states, the real span of its effects contains no rank-one matrix; in particular, every nonzero effect has rank at least two. Whether such a POVM exists is open. If the effects may have any rank, all that is known in is that ten outcomes are necessary and eleven suffice. Heinosaari, Mazzarella, and Wolf count self-adjoint operators besides the identity, and in their terms the lower and upper bounds are nine and ten [7]; an -outcome POVM corresponds to such operators [7]. The canonical Parseval frame associated with Vinzant’s frame also gives a rank-one POVM with eleven outcomes.
The dimension in Theorem 1.2 is optimal.
Remark 6.1 (Sharpness of the dimension). Let be the canonical Parseval frame ((20)) associated with Vinzant’s frame, and let be the orthogonal complement of the span of the effects . Then is traceless, has dimension at least , and has every as a common isotropic vector. By [14] and the proof of Lemma 5.1, these effects form a POVM distinguishing all pure states, so Lemma 2.1 shows that contains no nonzero matrix of rank at most two. By Theorem 1.2, cannot contain a six-dimensional subspace, so . Thus Theorem 1.2 fails for five-dimensional subspaces.
The existence of a ten-outcome POVM distinguishing all pure states in has an exact matrix formulation. If is a six-dimensional subspace, then is a ten-dimensional subspace containing . It is spanned by ten positive effects that sum to the identity. Indeed, if is a basis of , we may take for and with small. Conversely, the effects of a ten-outcome POVM span a subspace of dimension at most ten that contains , and its orthogonal complement contains a six-dimensional traceless subspace. Together with Lemma 2.1, these two constructions show that a ten-outcome POVM distinguishing all pure states in exists if and only if contains a six-dimensional subspace in which every nonzero matrix has rank at least three. By Theorem 1.2, such a subspace has no common isotropic vector.
We close with two open problems.
Does contain a six-dimensional real subspace in which every nonzero matrix has rank at least three? Equivalently, can a ten-outcome POVM distinguish all pure states in ? For such a subspace, our argument breaks down only in its last step. Sections 4.1 and 4.2 use only the rank condition, so the odd unitary map still has nonzero class, and Lemma 3.2 then forces on , as happens for the Dirac map (Remark 3.3). A negative answer would therefore follow from any argument showing that for such a subspace without a common isotropic vector.
A rank-one measurement with outcomes supplies common isotropic vectors of the orthogonal complement of its effects, one for each effect, whereas Theorem 1.2 uses only one of them. Can several common isotropic vectors be combined to improve lower bounds on the size of phase-retrieval frames in dimensions where the minimum is still unknown? Our argument uses dimension four in two places: in Lemma 3.1, through in , and in Section 4, where a traceless matrix of rank at least three with is invertible. In higher dimensions the absence of matrices of rank at most two gives no comparable control of the spectrum, so the spectral bundles would have to be constructed differently.
Concurrent work
While this manuscript was in preparation, Huang posted a preprint (30 July 2026) with the same lower bounds: no ten vectors in do phase retrieval, and consequently neither a rank-one POVM with ten outcomes nor three bases distinguish all pure states [20]. Later versions of that preprint, with the same proof, are coauthored with Kim. The two proofs were found independently, and they take place on different spaces. Huang works on the pure-state manifold. There, if ten vectors did phase retrieval in , the outcome probabilities of the rank-one POVM given by their canonical Parseval frame would embed in the affine hyperplane of on which they sum to one, a copy of . Each of these probabilities vanishes on the projective plane of states orthogonal to the corresponding vector, so its differential vanishes there, and this yields a nonvanishing normal vector field over that plane. Such a field is ruled out by the first Pontryagin class of the normal bundle, which is determined by the tangent bundle of [20], Theorem 1.2 and Section 3.3. We work instead on the unit sphere of a six-dimensional space of traceless Hermitian matrices orthogonal to the measured effects, where antipodal symmetry and complex -theory take the place of the normal bundle and its Pontryagin class. In both proofs, the rank-one effect enters through a nowhere-vanishing section of a bundle.
Acknowledgments
The author thanks Mikhail Vasilyevich Suslov for introducing him to this problem in 2015. The original argument was generated on 13 July 2026 by ChatGPT 5.6 Pro in a single response and later refined with GPT-5.6 Sol, GPT-6 Astra, and Claude Opus 5.5.
References
References
- [1]W. Pauli, Die allgemeinen Prinzipien der Wellenmechanik, in H. Geiger and K. Scheel (eds.), Handbuch der Physik, 2nd ed., Vol. 24, Part 1, Springer, Berlin, 1933, 83–272.
- [2]A. Vogt, Position and momentum distributions do not determine the quantum mechanical state, in A. R. Marlow (ed.), Mathematical Foundations of Quantum Theory, Academic Press, New York, 1978, 365–372.DOI
- [3]L. Zambrano, L. Pereira, and A. Delgado, Minimal orthonormal bases for pure quantum state estimation, Quantum 8 (2024), Article 1244, doi:10.22331/q-2024-02-08-1244.DOI
- [4]C. Carmeli, T. Heinosaari, J. Schultz, and A. Toigo, How many orthonormal bases are needed to distinguish all pure quantum states?, Eur. Phys. J. D 69 (2015), Article 179, doi:10.1140/epjd/e2015-60230-5.DOI
- [5]P. Jaming, Uniqueness results in an extension of Pauli’s phase retrieval problem, Appl. Comput. Harmon. Anal. 37 (2014), 413–441, doi:10.1016/j.acha.2014.01.003.DOI
- [6]B. Z. Moroz and A. M. Perelomov, On a problem posed by Pauli, Theoret. Math. Phys. 101 (1994), 1200–1204, doi:10.1007/BF01079256.DOI
- [7]T. Heinosaari, L. Mazzarella, and M. M. Wolf, Quantum tomography under prior information, Comm. Math. Phys. 318 (2013), 355–374, doi:10.1007/s00220-013-1671-8; corrected version arXiv:1109.5478v3, 2018.DOI
- [8]D. Mondragon and V. Voroninski, Determination of all pure quantum states from a minimal number of observables, arXiv:1306.1214v2 [math-ph], 2015.arxiv.org/abs/1306.1214
- [9]A. Mukherjee, Embedding complex projective spaces in Euclidean space, Bull. London Math. Soc. 13 (1981), 323–324, doi:10.1112/blms/13.4.323.DOI
- [10]J. Finkelstein, Pure-state informationally complete and “really” complete measurements, Phys. Rev. A 70 (2004), 052107, doi:10.1103/PhysRevA.70.052107.DOI
- [11]A. S. Bandeira, J. Cahill, D. G. Mixon, and A. A. Nelson, Saving phase: Injectivity and stability for phase retrieval, Appl. Comput. Harmon. Anal. 37 (2014), 106–125, doi:10.1016/j.acha.2013.10.002.DOI
- [12]R. Balan, P. Casazza, and D. Edidin, On signal reconstruction without phase, Appl. Comput. Harmon. Anal. 20 (2006), 345–356, doi:10.1016/j.acha.2005.07.001.DOI
- [13]A. Conca, D. Edidin, M. Hering, and C. Vinzant, An algebraic characterization of injectivity in phase retrieval, Appl. Comput. Harmon. Anal. 38 (2015), 346–356, doi:10.1016/j.acha.2014.06.005.DOI
- [14]C. Vinzant, A small frame and a certificate of its injectivity, in 2015 International Conference on Sampling Theory and Applications (SampTA), 197–200, doi:10.1109/SAMPTA.2015.7148879.DOI
- [15]Y. Wang and Y. Shang, Pure state ‘really’ informationally complete with rank-1 POVM, Quantum Inf. Process. 17 (2018), Article 51, doi:10.1007/s11128-018-1812-2; arXiv:1711.07585.DOI
- [16]M. F. Atiyah, K-Theory, W. A. Benjamin, New York, 1967, available online.
- [17]A. Hatcher, Vector Bundles and K-Theory, version 2.2, 2017, available online.
- [18]M. W. Hirsch, Differential Topology, Graduate Texts in Mathematics 33, Springer, New York, 1976.DOI
- [19]A. Causin, On the dimension of some real spaces of bounded rank matrices, Linear Algebra Appl. 434 (2011), 501–506, doi:10.1016/j.laa.2010.09.004.DOI
- [20]M. Huang and J. Kim, Phase retrieval in C⁴ requires exactly eleven measurements, arXiv:2607.27719, 2026; v1 by M. Huang, 30 July 2026; coauthored with J. Kim from v2, 28 August 2026; v3, 31 August 2026.arxiv.org/abs/2607.27719