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No-Broadcasting Theorem

The no-broadcasting theorem gives an exact operational characterization of commutativity. In finite-dimensional quantum mechanics, one physical channel can place every state in a promised family into two output systems with both marginals unchanged if and only if all states in that family commute pairwise.

Broadcasting is weaker than cloning: the two correct marginals may belong to a correlated joint state. The theorem therefore reaches mixed-state families that the usual pure-state no-cloning argument does not describe.

Required background. Density Operators supplies the state space; Partial Trace supplies the marginal operation; and Quantum Operations supplies completely positive trace-preserving maps and Kraus operators.

Helpful background. Entangled States clarifies why a joint output need not be a product. The pure-state no-cloning boundary is recovered below without being assumed.

Let H\mathcal H be finite dimensional, and identify each output space HA\mathcal H_A and HB\mathcal H_B with H\mathcal H. A channel

B:L(H)⟶L(HA⊗HB)\mathcal B: \mathcal L(\mathcal H) \longrightarrow \mathcal L(\mathcal H_A\otimes\mathcal H_B)

broadcasts a family S={ρi}\mathsf S=\{\rho_i\} when, for every ii,

τiAB=B(ρi)\tau_i^{AB}=\mathcal B(\rho_i)

has marginals

Tr⁡BτiAB=ρi,Tr⁡AτiAB=ρi.\operatorname{Tr}_B\tau_i^{AB}=\rho_i, \qquad \operatorname{Tr}_A\tau_i^{AB}=\rho_i.

The same channel must work without being told which member of the family was supplied.

No-broadcasting theorem. A family of density operators on a finite-dimensional Hilbert space is exactly broadcastable by one CPTP map if and only if

[ρi,ρj]=0[\rho_i,\rho_j]=0

for every pair i,ji,j.

Pairwise commuting finite-dimensional Hermitian matrices are simultaneously diagonalizable. The theorem can therefore be read as follows: exactly the state families encoded in one common classical basis can be broadcast.

Constructing the channel for commuting states

Section titled “Constructing the channel for commuting states”

Suppose the family commutes. Choose a common orthonormal eigenbasis {∣k⟩}k=1d\{|k\rangle\}_{k=1}^d so that

ρi=∑k=1dpi(k)∣k⟩⟨k∣.\rho_i = \sum_{k=1}^d p_i(k)|k\rangle\langle k|.

Define Kraus operators from the input to the two outputs by

Kk=∣k⟩A∣k⟩B⟨k∣.K_k = |k\rangle_A|k\rangle_B\langle k|.

They satisfy

∑kKk†Kk=∑k∣k⟩⟨k∣=I,\sum_k K_k^\dagger K_k = \sum_k |k\rangle\langle k| = I,

so

B(X)=∑kKkXKk†\mathcal B(X) = \sum_k K_kXK_k^\dagger

is completely positive and trace preserving. On every promised input,

B(ρi)=∑kpi(k)∣kk⟩⟨kk∣.\mathcal B(\rho_i) = \sum_k p_i(k) |kk\rangle\langle kk|.

Tracing out either output gives ρi\rho_i. Operationally, this channel dephases in the common eigenbasis and writes the surviving classical label into both systems. Dephasing does not alter any state in the promised commuting family.

The output is generally not two independent copies:

∑kpi(k)∣kk⟩⟨kk∣≠ρi⊗ρi.\sum_k p_i(k)|kk\rangle\langle kk| \ne \rho_i\otimes\rho_i.

Its two records are classically correlated. That distinction is why broadcasting can succeed for overlapping commuting mixed states even when cloning cannot.

Why noncommuting states cannot be broadcast

Section titled “Why noncommuting states cannot be broadcast”

The difficult direction is necessity. A useful proof follows the fidelity argument of Barnum, Caves, Fuchs, Jozsa, and Schumacher. Define the root fidelity

f(ρ,σ)=∥ρσ∥1=Tr⁡ρ σρ.f(\rho,\sigma) = \left\|\sqrt\rho\sqrt\sigma\right\|_1 = \operatorname{Tr} \sqrt{\sqrt\rho\,\sigma\sqrt\rho}.

This convention is the square root of the quantity that some texts call fidelity. It is monotone under every CPTP map:

f(Φ(ρ),Φ(σ))≥f(ρ,σ).f(\Phi(\rho),\Phi(\sigma)) \geq f(\rho,\sigma).

A channel cannot make two inputs more distinguishable. Partial trace is a CPTP map and obeys the same inequality.

Assume one channel broadcasts two states ρ\rho and σ\sigma, with outputs τρ\tau_\rho and τσ\tau_\sigma. Channel monotonicity and the AA marginal give

f(ρ,σ)≤f(τρ,τσ)≤f(Tr⁡Bτρ,Tr⁡Bτσ)=f(ρ,σ).f(\rho,\sigma) \leq f(\tau_\rho,\tau_\sigma) \leq f(\operatorname{Tr}_B\tau_\rho, \operatorname{Tr}_B\tau_\sigma) = f(\rho,\sigma).

The BB marginal gives the same chain. Every inequality is therefore an equality:

f(ρ,σ)=f(τρ,τσ)=f(Tr⁡Bτρ,Tr⁡Bτσ)=f(Tr⁡Aτρ,Tr⁡Aτσ).f(\rho,\sigma) = f(\tau_\rho,\tau_\sigma) = f(\operatorname{Tr}_B\tau_\rho, \operatorname{Tr}_B\tau_\sigma) = f(\operatorname{Tr}_A\tau_\rho, \operatorname{Tr}_A\tau_\sigma).

This equality chain is necessary, but writing it down is not yet a proof of commutativity. A channel can preserve fidelity for a pair without broadcasting it. The nontrivial step is to impose the equality conditions for both output marginals.

First suppose ρ\rho and σ\sigma are invertible. Fidelity also has the measurement representation

f(ρ,σ)=min⁡{Ek}∑kTr⁡(ρEk)Tr⁡(σEk),f(\rho,\sigma) = \min_{\{E_k\}} \sum_k \sqrt{\operatorname{Tr}(\rho E_k)} \sqrt{\operatorname{Tr}(\sigma E_k)},

where the minimum is over POVMs. An optimal projective POVM may be chosen in an eigenbasis of the positive operator

M=σ−1/2σ1/2ρσ1/2σ−1/2,M = \sigma^{-1/2} \sqrt{\sigma^{1/2}\rho\sigma^{1/2}} \sigma^{-1/2},

which is the unique positive solution of

ρ=MσM.\rho=M\sigma M.

Let Ek=∣k⟩⟨k∣E_k=|k\rangle\langle k| be its spectral projections, with M∣k⟩=mk∣k⟩M|k\rangle=m_k|k\rangle. Because broadcasting preserves the input probabilities on each marginal, the two lifted POVMs

{Ek⊗I},{I⊗Ek}\{E_k\otimes I\}, \qquad \{I\otimes E_k\}

have the same classical overlap as the input-optimal POVM. The fidelity equalities force both lifted POVMs to be optimal for the output pair.

Here is the equality lemma needed for the remaining implication. It is the step that the fidelity sandwich by itself does not provide.

Two-marginal fidelity lemma. Let α\alpha and β\beta be states on A⊗BA\otimes B whose marginals satisfy

Tr⁡Aα=Tr⁡Bα=ρ,Tr⁡Aβ=Tr⁡Bβ=σ.\operatorname{Tr}_A\alpha=\operatorname{Tr}_B\alpha=\rho, \qquad \operatorname{Tr}_A\beta=\operatorname{Tr}_B\beta=\sigma.

Suppose {Ek}\{E_k\} is a projective POVM that is optimal for ρ,σ\rho,\sigma, and that both lifted POVMs {Ek⊗I}\{E_k\otimes I\} and {I⊗Ek}\{I\otimes E_k\} are optimal for α,β\alpha,\beta. Then there are nonnegative numbers gk,hkg_k,h_k and polar unitaries U,VU,V such that

Uα (Ek⊗I)=gkβ (Ek⊗I),Vα (I⊗Ek)=hkβ (I⊗Ek).\begin{aligned} U\sqrt\alpha\,(E_k\otimes I) &= g_k\sqrt\beta\,(E_k\otimes I),\\ V\sqrt\alpha\,(I\otimes E_k) &= h_k\sqrt\beta\,(I\otimes E_k). \end{aligned}

To verify the lemma for either lifted projective POVM {Pk}\{P_k\}, choose a unitary extension of the polar partial isometry such that

Uαβ=β αβ.U\sqrt\alpha\sqrt\beta = \sqrt{\sqrt\beta\,\alpha\sqrt\beta}.

Then

f(α,β)=∑kTr⁡(β UαPk)≤∑k∣Tr⁡[(βPk)†(UαPk)]∣≤∑k∥βPk∥2∥UαPk∥2=∑kTr⁡(βPk)Tr⁡(αPk).\begin{aligned} f(\alpha,\beta) &= \sum_k \operatorname{Tr}(\sqrt\beta\,U\sqrt\alpha P_k)\\ &\le \sum_k \left| \operatorname{Tr} \left[ (\sqrt\beta P_k)^\dagger (U\sqrt\alpha P_k) \right] \right|\\ &\le \sum_k \|\sqrt\beta P_k\|_2 \|U\sqrt\alpha P_k\|_2\\ &= \sum_k \sqrt{\operatorname{Tr}(\beta P_k)} \sqrt{\operatorname{Tr}(\alpha P_k)}. \end{aligned}

For an optimal measurement the endpoints agree, so both intermediate inequalities are equalities. Because the marginals ρ,σ\rho,\sigma are invertible, every nonzero EkE_k has positive probability. Equality in each Hilbert–Schmidt Cauchy–Schwarz term therefore gives UαPk=ckβPkU\sqrt\alpha P_k=c_k\sqrt\beta P_k, with the common phase absorbed into UU and

ck=Tr⁡(αPk)Tr⁡(βPk)≥0.c_k = \sqrt{ \frac{\operatorname{Tr}(\alpha P_k)} {\operatorname{Tr}(\beta P_k)} } \ge0.

Applying this argument to the two lifted PVMs gives the two displayed relations. Their polar unitaries may differ on the null spaces of the output states, which is why they were denoted UU and VV.

Apply the lemma with α=τρ\alpha=\tau_\rho, β=τσ\beta=\tau_\sigma, and Ek=∣k⟩⟨k∣E_k=|k\rangle\langle k|. Define

G=∑kgkEk,H=∑khkEk.G=\sum_k g_kE_k, \qquad H=\sum_k h_kE_k.

Summing the equality relations over kk gives

Uτρ=τσ(G⊗I),Vτρ=τσ(I⊗H).\begin{aligned} U\sqrt{\tau_\rho} &= \sqrt{\tau_\sigma}(G\otimes I),\\ V\sqrt{\tau_\rho} &= \sqrt{\tau_\sigma}(I\otimes H). \end{aligned}

Taking adjoint products and then the appropriate partial trace uses the broadcasting marginals to give

ρ=GσG,ρ=HσH.\rho=G\sigma G, \qquad \rho=H\sigma H.

The positive solution XX of ρ=XσX\rho=X\sigma X is unique: multiplying by σ1/2\sigma^{1/2} on both sides shows that

σ1/2Xσ1/2=σ1/2ρσ1/2.\sigma^{1/2}X\sigma^{1/2} = \sqrt{\sigma^{1/2}\rho\sigma^{1/2}}.

Hence G=H=MG=H=M. Because MM is invertible, eliminating τσ\sqrt{\tau_\sigma} between the two summed relations yields, for the unitary W=V†UW=V^\dagger U,

Wτρ=τρ(M⊗M−1).W\sqrt{\tau_\rho} = \sqrt{\tau_\rho} (M\otimes M^{-1}).

Act on the product eigenvector ∣k⟩A∣ℓ⟩B|k\rangle_A|\ell\rangle_B and compare norms. The left side has norm ∥τρ∣kℓ⟩∥\|\sqrt{\tau_\rho}|k\ell\rangle\|, while the right side has norm (mk/mℓ)∥τρ∣kℓ⟩∥(m_k/m_\ell)\|\sqrt{\tau_\rho}|k\ell\rangle\|. Positivity of the eigenvalues therefore implies

τρ∣kℓ⟩=0whenever mk≠mℓ.\sqrt{\tau_\rho}|k\ell\rangle=0 \qquad \text{whenever }m_k\ne m_\ell.

The MM-basis matrix elements of the AA marginal are

⟨k∣ρ∣k′⟩=∑ℓ⟨τρ∣kℓ⟩,τρ∣k′ℓ⟩⟩.\langle k|\rho|k'\rangle = \sum_\ell \left\langle \sqrt{\tau_\rho}|k\ell\rangle, \sqrt{\tau_\rho}|k'\ell\rangle \right\rangle.

If mk≠mk′m_k\ne m_{k'}, the two vectors in every summand cannot both be nonzero: the first requires mk=mℓm_k=m_\ell and the second requires mk′=mℓm_{k'}=m_\ell. Thus the matrix element vanishes and [M,ρ]=0[M,\rho]=0. Finally,

σ=M−1ρM−1=M−2ρ=ρM−2,\sigma=M^{-1}\rho M^{-1} = M^{-2}\rho = \rho M^{-2},

so [ρ,σ]=0[\rho,\sigma]=0. The argument has now used both marginal equalities, the equality condition itself, and the uniqueness of MM explicitly.

For states that are not invertible, let K=supp⁡(ρ+σ)K=\operatorname{supp}(\rho+\sigma) and restrict to KK. This restriction also contains the output supports. If PKP_K projects onto KK and a positive output τ\tau has its AA marginal supported in KK, then

Tr⁡[((I−PK)⊗I)τ]=0.\operatorname{Tr} \left[ ((I-P_K)\otimes I)\tau \right] =0.

Positivity forces ((I−PK)⊗I)τ=0((I-P_K)\otimes I)\tau=0 on the support of τ\tau; the other marginal gives the analogous statement for BB. Hence every broadcast output is supported in K⊗KK\otimes K.

Define the broadcast state

ω=ρ+σ2.\omega = \frac{\rho+\sigma}{2}.

Linearity means the channel also broadcasts every convex combination of ρ\rho and σ\sigma. For 0<ε<10<\varepsilon<1, the two states

ρε=(1−ε)ρ+εω,σε=(1−ε)σ+εω\rho_\varepsilon =(1-\varepsilon)\rho+\varepsilon\omega, \qquad \sigma_\varepsilon =(1-\varepsilon)\sigma+\varepsilon\omega

are invertible on KK and are broadcast by the same channel. The invertible argument gives [ρε,σε]=0[\rho_\varepsilon,\sigma_\varepsilon]=0, while direct expansion gives

[ρε,σε]=(1−ε)[ρ,σ].[\rho_\varepsilon,\sigma_\varepsilon] =(1-\varepsilon)[\rho,\sigma].

Hence [ρ,σ]=0[\rho,\sigma]=0. Applying this pairwise to a broadcast family proves necessity for the whole family.

Cloning requires the stronger output condition

C(ρi)=ρi⊗ρi.\mathcal C(\rho_i) = \rho_i\otimes\rho_i.

Fidelity is multiplicative on tensor products. If one channel cloned two states exactly, partial trace would recover each input from its output. The same two-sided monotonicity argument would therefore require

f(ρ,σ)=f(ρ⊗ρ,σ⊗σ)=f(ρ,σ)2.f(\rho,\sigma) = f(\rho\otimes\rho, \sigma\otimes\sigma) = f(\rho,\sigma)^2.

Thus f(ρ,σ)f(\rho,\sigma) must be 00 or 11: the states have orthogonal supports or are identical. Overlapping commuting mixed states can therefore be broadcast but cannot be cloned into product copies.

For a pure input, broadcasting already reduces to cloning. If a bipartite state has the pure marginal ∣ψ⟩⟨ψ∣|\psi\rangle\langle\psi|, positivity forces the joint state to factor as

∣ψ⟩⟨ψ∣⊗η.|\psi\rangle\langle\psi|\otimes\eta.

If the other marginal is the same pure state, then η=∣ψ⟩⟨ψ∣\eta=|\psi\rangle\langle\psi|. Rank-one projectors commute only when they represent the same ray or orthogonal rays, recovering the exact deterministic no-cloning theorem.

Consider a commuting zz-diagonal family

ρr=I+rσz2,−1≤r≤1.\rho_r = \frac{I+r\sigma_z}{2}, \qquad -1\leq r\leq1.

The Kraus channel with K0=∣00⟩⟨0∣K_0=|00\rangle\langle0| and K1=∣11⟩⟨1∣K_1=|11\rangle\langle1| broadcasts every member at once:

B(ρr)=1+r2∣00⟩⟨00∣+1−r2∣11⟩⟨11∣.\mathcal B(\rho_r) = \frac{1+r}{2}|00\rangle\langle00| + \frac{1-r}{2}|11\rangle\langle11|.

Both marginals equal ρr\rho_r.

By contrast, let

ρ=I+rσz2,σ=I+sσx2.\rho = \frac{I+r\sigma_z}{2}, \qquad \sigma = \frac{I+s\sigma_x}{2}.

Their commutator is

[ρ,σ]=irs2σy.[\rho,\sigma] = \frac{irs}{2}\sigma_y.

If rr and ss are both nonzero, no exact channel broadcasts the pair. This includes noisy, genuinely mixed examples; purity is not the obstruction.

Singleton and identical families. A singleton commutes trivially and can be broadcast by a constant preparation channel. Repeated copies of the same density operator do not make a nontrivial family.

Orthogonal supports. Orthogonal states commute and can be perfectly identified, after which a channel may prepare two records. They can even be cloned exactly.

Degenerate spectra. Pairwise commutativity, not nondegeneracy, is the criterion. Any common eigenbasis within degenerate subspaces gives a valid constructive channel.

Correlated output. Broadcasting constrains only the two marginals. The joint output may contain classical or quantum correlations; it need not be a product state.

External classical label. If a device is told which state was prepared, it can prepare as many copies as desired. The theorem assumes that the same channel receives only the unknown quantum input.

Exact finite-dimensional setting. The theorem here is deterministic and exact, with one input copy and two faithful marginals. Approximate, probabilistic, asymmetric, many-input, and infinite-dimensional broadcasting require separate statements and error measures.

Calling the theorem universal no-copying. A known singleton or a commuting family is broadcastable. The obstruction is a promised family containing noncommuting alternatives.

Replacing broadcasting by cloning. Correct marginals need not be independent product copies. Commuting mixed states expose the difference.

Claiming that measurement and preparation always work. Measuring the common eigenbasis works for a commuting family because that dephasing leaves every promised state invariant. No single measurement has this property for a noncommuting family.

Stopping at fidelity preservation. Equality under the channel and one partial trace is not enough. Necessity uses the equality conditions for both marginals and the uniqueness of the positive operator MM.

Extending the theorem to infinite dimension without hypotheses. Support, continuity, normality, and operator-algebraic issues must be controlled in an infinite-dimensional version.

For Kk=∣kk⟩⟨k∣K_k=|kk\rangle\langle k|, prove that the Kraus map is trace preserving and that it broadcasts every density operator diagonal in the basis {∣k⟩}\{|k\rangle\}.

Solution

Trace preservation follows from

∑kKk†Kk=∑k∣k⟩⟨k∣=I.\sum_kK_k^\dagger K_k = \sum_k|k\rangle\langle k| =I.

For ρ=∑kpk∣k⟩⟨k∣\rho=\sum_kp_k|k\rangle\langle k|,

B(ρ)=∑kpk∣kk⟩⟨kk∣.\mathcal B(\rho) = \sum_kp_k|kk\rangle\langle kk|.

Using Tr⁡B(∣kk⟩⟨kk∣)=∣k⟩⟨k∣\operatorname{Tr}_B(|kk\rangle\langle kk|)=|k\rangle\langle k| and the analogous identity for AA, both marginals are ρ\rho.

For ρ=(I+rσz)/2\rho=(I+r\sigma_z)/2 and σ=(I+sσx)/2\sigma=(I+s\sigma_x)/2, calculate the commutator and determine exactly when the pair is broadcastable.

Solution

Since [σz,σx]=2iσy[\sigma_z,\sigma_x]=2i\sigma_y,

[ρ,σ]=rs4[σz,σx]=irs2σy.[\rho,\sigma] = \frac{rs}{4}[\sigma_z,\sigma_x] = \frac{irs}{2}\sigma_y.

The commutator vanishes exactly when r=0r=0 or s=0s=0. In either case one state is maximally mixed and commutes with the other, so the pair is broadcastable. If rs≠0rs\ne0, the no-broadcasting theorem forbids an exact broadcasting channel.

Show that two rank-one projectors commute if and only if they are identical or orthogonal. Conclude that two distinct nonorthogonal pure states cannot be broadcast.

Solution

Let P=∣ψ⟩⟨ψ∣P=|\psi\rangle\langle\psi| and Q=∣ϕ⟩⟨ϕ∣Q=|\phi\rangle\langle\phi|. Their products are

PQ=⟨ψ∣ϕ⟩∣ψ⟩⟨ϕ∣,QP=⟨ϕ∣ψ⟩∣ϕ⟩⟨ψ∣.PQ = \langle\psi|\phi\rangle |\psi\rangle\langle\phi|, \qquad QP = \langle\phi|\psi\rangle |\phi\rangle\langle\psi|.

If the overlap is zero, both products vanish. If it is nonzero and PQ=QPPQ=QP, the one-dimensional ranges of the two products coincide, so ∣ψ⟩|\psi\rangle and ∣ϕ⟩|\phi\rangle define the same ray. The theorem therefore permits broadcasting only for identical or orthogonal pure states.

With ω=(ρ+σ)/2\omega=(\rho+\sigma)/2, verify

[ρε,σε]=(1−ε)[ρ,σ][\rho_\varepsilon,\sigma_\varepsilon] =(1-\varepsilon)[\rho,\sigma]

for the regularized states used in the necessity proof.

Solution

The regularized states are

ρε=(1−ε2)ρ+ε2σ,σε=ε2ρ+(1−ε2)σ.\rho_\varepsilon = \left(1-\frac\varepsilon2\right)\rho + \frac\varepsilon2\sigma, \qquad \sigma_\varepsilon = \frac\varepsilon2\rho + \left(1-\frac\varepsilon2\right)\sigma.

Using bilinearity and antisymmetry of the commutator, the coefficient of [ρ,σ][\rho,\sigma] is

(1−ε2)2−(ε2)2=1−ε.\left(1-\frac\varepsilon2\right)^2 - \left(\frac\varepsilon2\right)^2 = 1-\varepsilon.

All self-commutators vanish. Thus commutativity of the regularized pair for any 0<ε<10<\varepsilon<1 implies commutativity of the original pair.

Assume a channel maps both ρ\rho and σ\sigma to two product copies. Use fidelity monotonicity and multiplicativity to show that the two states must be identical or have orthogonal supports.

Solution

Monotonicity gives

f(ρ,σ)≤f(ρ⊗ρ,σ⊗σ)=f(ρ,σ)2.f(\rho,\sigma) \leq f(\rho\otimes\rho, \sigma\otimes\sigma) = f(\rho,\sigma)^2.

Because 0≤f≤10\leq f\leq1, one also has f2≤ff^2\leq f. Both inequalities can hold only when f=0f=0 or f=1f=1. Root fidelity is zero exactly for orthogonal supports and one exactly for identical states.

Let M∣k⟩=mk∣k⟩M|k\rangle=m_k|k\rangle with every mk>0m_k>0, and suppose a state τ\tau and a unitary WW obey

Wτ=τ(M⊗M−1).W\sqrt\tau = \sqrt\tau(M\otimes M^{-1}).

Show first that τ∣kℓ⟩=0\sqrt\tau|k\ell\rangle=0 whenever mk≠mℓm_k\ne m_\ell. Then prove that the AA marginal of τ\tau commutes with MM.

Solution

Taking norms after acting on ∣kℓ⟩|k\ell\rangle gives

∥τ∣kℓ⟩∥=mkmℓ∥τ∣kℓ⟩∥.\left\|\sqrt\tau|k\ell\rangle\right\| = \frac{m_k}{m_\ell} \left\|\sqrt\tau|k\ell\rangle\right\|.

If mk≠mℓm_k\ne m_\ell, positivity makes the ratio different from one, so the norm must vanish. For τA=Tr⁡Bτ\tau_A=\operatorname{Tr}_B\tau,

⟨k∣τA∣k′⟩=∑ℓ⟨τ∣kℓ⟩,τ∣k′ℓ⟩⟩.\langle k|\tau_A|k'\rangle = \sum_\ell \left\langle \sqrt\tau|k\ell\rangle, \sqrt\tau|k'\ell\rangle \right\rangle.

When mk≠mk′m_k\ne m_{k'}, a nonzero first vector requires mk=mℓm_k=m_\ell, whereas a nonzero second vector requires mk′=mℓm_{k'}=m_\ell. These conditions cannot both hold, so every summand vanishes. Thus τA\tau_A is block diagonal in the eigenspaces of MM, which is equivalent to [τA,M]=0[\tau_A,M]=0.

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