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Ensembles and Preparation Procedures

An ensemble specifies a random preparation procedure. On each run, a classical label ii occurs with probability pip_i, and the apparatus prepares a quantum state ρi\rho_i. If that label is ignored or unavailable, the emitted system is described by the average state

ρˉ=∑ipiρi,pi≥0,∑ipi=1.\bar\rho = \sum_i p_i\rho_i, \qquad p_i\ge0, \qquad \sum_i p_i=1.

For a pure-state ensemble, ρi=∣ψi⟩⟨ψi∣\rho_i=\lvert\psi_i\rangle\langle\psi_i\rvert, so

ρˉ=∑ipi∣ψi⟩⟨ψi∣.\bar\rho = \sum_i p_i \lvert\psi_i\rangle\langle\psi_i\rvert.

The average density operator determines every unconditioned measurement probability on the emitted system. The particular ensemble decomposition is additional information about the preparation, and it is generally not unique.

Let a measurement have effects {Ea}\{E_a\}. Conditional on preparation label ii, the Born rule gives

p(a∣i)=Tr⁡(ρiEa).p(a\mid i) = \operatorname{Tr}(\rho_i E_a).

The law of total probability then gives

p(a)=∑ipip(a∣i)=∑ipiTr⁡(ρiEa)=Tr⁡(ρˉEa).\begin{aligned} p(a) &= \sum_i p_i p(a\mid i) \\ &= \sum_i p_i\operatorname{Tr}(\rho_i E_a) \\ &= \operatorname{Tr}(\bar\rho E_a). \end{aligned}

Thus averaging states before applying the trace rule produces the same unconditioned statistics as averaging the conditional probabilities afterward. This compatibility between classical probability and quantum measurement is why convex mixtures represent randomized preparations.

The components ρi\rho_i may themselves be mixed. A pure-state ensemble is important because every finite-dimensional density operator admits one, but it is not the only type of ensemble used in experiments.

Ignoring a preparation label is a physical loss of accessible information, not an algebraic erasure of the preparation event. Introduce a classical register XX with orthonormal record states {∣i⟩X}\{\lvert i\rangle_X\}. The joint classical–quantum state is

ρXQ=∑ipi∣i⟩⟨i∣X⊗ρi(Q).\rho_{XQ} = \sum_i p_i \lvert i\rangle\langle i\rvert_X \otimes \rho_i^{(Q)}.

Discarding the record gives

Tr⁡XρXQ=∑ipiρi=ρˉQ.\operatorname{Tr}_X\rho_{XQ} = \sum_i p_i\rho_i = \bar\rho_Q.

If XX remains available, an experimenter can condition on ii and use ρi\rho_i for that subensemble. If XX is discarded, all predictions on QQ alone are made from ρˉQ\bar\rho_Q.

This distinction answers a common question: the average density operator is complete for measurements on the emitted system alone, but it is not a description of an accessible preparation record or of every larger system correlated with the emission.

An expression

ρ=∑ipi∣ψi⟩⟨ψi∣\rho = \sum_i p_i \lvert\psi_i\rangle\langle\psi_i\rvert

is a pure-state ensemble decomposition of ρ\rho. The vectors:

  • need not be orthogonal;
  • need not be linearly independent;
  • may occur with repeated rays under different labels;
  • may outnumber the dimension or rank of ρ\rho.

The phases of individual ∣ψi⟩\lvert\psi_i\rangle do not matter because each term is a projector.

Every positive-probability ensemble vector lies in the support of ρ\rho. If ∣χ⟩\lvert\chi\rangle belongs to the kernel of ρ\rho, then

0=⟨χ∣ρ∣χ⟩=∑ipi∣⟨χ∣ψi⟩∣2.\begin{aligned} 0 &= \langle\chi\rvert\rho\lvert\chi\rangle \\ &= \sum_i p_i \lvert \langle\chi\vert\psi_i\rangle \rvert^2. \end{aligned}

Each term is nonnegative, so every overlap must vanish. Therefore the ensemble vectors span the support, and any pure-state decomposition of a rank-RR state needs at least RR nonzero components.

Diagonalizing ρ\rho gives

ρ=∑r=1Rλr∣r⟩⟨r∣,λr>0.\rho = \sum_{r=1}^{R} \lambda_r \lvert r\rangle\langle r\rvert, \qquad \lambda_r>0.

This is a pure-state ensemble with orthonormal component states. It uses exactly R=rank⁡ρR=\operatorname{rank}\rho components, the smallest possible number.

The spectral decomposition is mathematically distinguished:

  • the weights are the nonzero eigenvalues;
  • the component vectors are orthogonal;
  • nondegenerate eigenspaces fix their rays;
  • a degenerate eigenspace permits basis rotations within that subspace.

It still need not be the preparation used in a laboratory. Diagonalizing a density matrix reveals its spectrum and eigenspaces, not a unique history of how the state was made.

Nonuniqueness for the maximally mixed qubit

Section titled “Nonuniqueness for the maximally mixed qubit”

The maximally mixed qubit has the computational-basis decomposition

I22=12∣0⟩⟨0∣+12∣1⟩⟨1∣.\frac{I_2}{2} = \frac12 \lvert0\rangle\langle0\rvert + \frac12 \lvert1\rangle\langle1\rvert.

It also has the xx-basis decomposition

I22=12∣+⟩⟨+∣+12∣−⟩⟨−∣.\frac{I_2}{2} = \frac12 \lvert+\rangle\langle+\rvert + \frac12 \lvert-\rangle\langle-\rvert.

More generally, for any orthonormal qubit pair {∣n,+⟩,∣n,−⟩}\{\lvert\mathbf n,+\rangle,\lvert\mathbf n,-\rangle\},

I22=12∣n,+⟩⟨n,+∣+12∣n,−⟩⟨n,−∣.\frac{I_2}{2} = \frac12 \lvert\mathbf n,+\rangle \langle\mathbf n,+\rvert + \frac12 \lvert\mathbf n,-\rangle \langle\mathbf n,-\rvert.

There are therefore infinitely many two-state decompositions. No measurement on the unconditioned qubit reveals which basis the source used.

Nonorthogonal decompositions of a biased qubit

Section titled “Nonorthogonal decompositions of a biased qubit”

Nonuniqueness is not restricted to the maximally mixed state. Let

ρr=12(I+rZ),0<r<1.\rho_r = \frac12 \left( I+rZ \right), \qquad 0<r<1.

Its spectral decomposition is

ρr=1+r2∣0⟩⟨0∣+1−r2∣1⟩⟨1∣.\rho_r = \frac{1+r}{2} \lvert0\rangle\langle0\rvert + \frac{1-r}{2} \lvert1\rangle\langle1\rvert.

Now define

∣ψ+⟩=1+r2 ∣0⟩+1−r2 ∣1⟩,∣ψ−⟩=1+r2 ∣0⟩−1−r2 ∣1⟩.\begin{aligned} \lvert\psi_+\rangle &= \sqrt{\frac{1+r}{2}}\, \lvert0\rangle + \sqrt{\frac{1-r}{2}}\, \lvert1\rangle, \\ \lvert\psi_-\rangle &= \sqrt{\frac{1+r}{2}}\, \lvert0\rangle - \sqrt{\frac{1-r}{2}}\, \lvert1\rangle. \end{aligned}

These states are normalized but not orthogonal:

⟨ψ+∣ψ−⟩=r.\langle\psi_+\vert\psi_-\rangle=r.

Their equal mixture is

ρr=12∣ψ+⟩⟨ψ+∣+12∣ψ−⟩⟨ψ−∣.\rho_r = \frac12 \lvert\psi_+\rangle\langle\psi_+\rvert + \frac12 \lvert\psi_-\rangle\langle\psi_-\rvert.

The opposite off-diagonal terms cancel, while the diagonal populations remain. The same nonmaximally mixed state therefore has both an unequal orthogonal ensemble and an equal nonorthogonal ensemble.

A pure qubit state has a unit Bloch vector ni\mathbf n_i, while a general qubit density operator has

ρ=12(I+r⋅σ).\rho = \frac12 \left( I+\mathbf r\cdot\boldsymbol\sigma \right).

For an ensemble of pure qubit states,

r=∑ipini.\mathbf r = \sum_i p_i\mathbf n_i.

An ensemble decomposition is therefore a convex construction of an interior point from points on the sphere. Most interior points admit infinitely many such constructions. The density operator retains the average vector r\mathbf r, not a preferred polygon of component vectors.

The full qubit geometry is developed in Bloch Sphere.

Two ensembles

E={(pi,ρi)}i,F={(qj,σj)}j\mathcal E = \left\lbrace (p_i,\rho_i) \right\rbrace_i, \qquad \mathcal F = \left\lbrace (q_j,\sigma_j) \right\rbrace_j

are operationally equivalent on the emitted system when

∑ipiρi=∑jqjσj=ρ.\sum_i p_i\rho_i = \sum_j q_j\sigma_j = \rho.

For every measurement effect EaE_a,

∑ipiTr⁡(ρiEa)=Tr⁡(ρEa)=∑jqjTr⁡(σjEa).\begin{aligned} \sum_i p_i\operatorname{Tr}(\rho_iE_a) &= \operatorname{Tr}(\rho E_a) \\ &= \sum_j q_j\operatorname{Tr}(\sigma_jE_a). \end{aligned}

The equivalence includes every POVM and every data-processing strategy applied only to that system. It does not say the laboratory procedures are identical, consume the same resources, or leave the same external records.

If different labels are stored in accessible registers, the joint classical–quantum states can differ even when their reductions on QQ are the same. Measurements on XQXQ may then distinguish the preparations.

A single-copy density operator does not determine temporal or multi-copy correlations. Compare two two-qubit sources. Independent fair emissions give

ρiid=I22⊗I22=I44.\rho_{\mathrm{iid}} = \frac{I_2}{2} \otimes \frac{I_2}{2} = \frac{I_4}{4}.

A source that chooses one fair bit and emits it twice gives

ρcorr=12∣00⟩⟨00∣+12∣11⟩⟨11∣.\rho_{\mathrm{corr}} = \frac12 \lvert00\rangle\langle00\rvert + \frac12 \lvert11\rangle\langle11\rvert.

Every individual qubit has marginal I2/2I_2/2 in both cases, but a joint Z⊗ZZ\otimes Z measurement distinguishes the sources. Claiming single-system operational equivalence does not license an independent and identically distributed assumption.

Linear averages of observables depend only on ρ\rho. Nonlinear quantities assigned to the component states can depend on the decomposition. For example, the average of component-state variances need not equal the variance computed from ρ\rho; classical variation of the conditional means supplies an additional term.

This is why mixed-state constructions such as entanglement of formation optimize over all pure-state decompositions rather than selecting one arbitrary ensemble.

Suppose outcome aa is observed and the ensemble model is known. Bayes’ rule updates the classical label:

p(i∣a)=piTr⁡(ρiEa)Tr⁡(ρˉEa).p(i\mid a) = \frac{ p_i\operatorname{Tr}(\rho_iE_a) }{ \operatorname{Tr}(\bar\rho E_a) }.

This update concerns uncertainty about which preparation branch occurred. The quantum post-measurement state also depends on the measurement instrument, not only on the effect EaE_a. Classical label updating and quantum state update answer different questions and should not be conflated.

Every finite-dimensional density operator can be realized as the reduced state of a larger pure state. Different measurements on the purifying system can realize different ensemble decompositions of the same reduced state.

For the Bell state,

∣Φ+⟩=∣00⟩+∣11⟩2=∣++⟩+∣−−⟩2.\lvert\Phi^+\rangle = \frac{ \lvert00\rangle+\lvert11\rangle }{\sqrt2} = \frac{ \lvert++\rangle+\lvert--\rangle }{\sqrt2}.

A computational-basis measurement on BB prepares the zz-basis ensemble on AA after the outcome is communicated. An xx-basis measurement on BB prepares the xx-basis ensemble. If the outcome is ignored, both average to

ρA=I22.\rho_A=\frac{I_2}{2}.

The Hughston–Jozsa–Wootters theorem classifies this relationship between ensemble decompositions and measurements on a purification. Its proof and generality belong to Purification. Conditional States develops the steering and no-signaling distinction.

A mixture generated by a classical randomizer and a reduced state generated by entanglement can be identical as operators on the subsystem. Their global contexts differ: a classical record or a purifying system may carry different correlations.

The density operator is operationally complete for the subsystem alone. It need not encode every fact about its preparation history or environment. Conversely, the existence of one ensemble containing entangled vectors does not prove that a mixed bipartite state is entangled; another decomposition may use only product states. Mixed-state separability is a property of the density operator, addressed in Separable Mixed States.

When given a preparation ensemble:

  1. Normalize every component state.
  2. Check pi≥0p_i\ge0 and ∑ipi=1\sum_i p_i=1.
  3. Form ρˉ=∑ipiρi\bar\rho=\sum_i p_i\rho_i.
  4. Verify positivity and trace one.
  5. Use ρˉ\bar\rho for unconditioned measurements on the emitted system.
  6. Retain the classical–quantum state if the label remains accessible.
  7. Do not infer a unique ensemble from a spectral decomposition.
  8. State whether repeated emissions are independent or correlated.
  9. Separate classical Bayesian updating from quantum state update.
  10. For ensemble-dependent nonlinear quantities, specify the decomposition or optimize over all allowed decompositions.
  • Thinking a density operator uniquely identifies the prepared ensemble.
  • Assuming ensemble states must be orthogonal or be eigenvectors of ρ\rho.
  • Treating eigenvalues as preparation probabilities in every laboratory realization.
  • Confusing a coherent superposition with a randomized mixture.
  • Discarding an accessible preparation record and then claiming no information was lost.
  • Extending single-copy equivalence to correlated multi-copy sources.
  • Assuming one ensemble containing entangled kets proves mixed-state entanglement.
  • Treating a remote conditional ensemble as a change in the unconditioned reduced state.
  • Applying Bayes’ rule for a classical label as though it specified a quantum measurement instrument.
  • Forgetting that nonlinear component averages may depend on the chosen decomposition.

Trace Rule for Expectation Values develops the measurement calculation. Purification Overview introduces the larger-system representation. Classical Mixtures vs Quantum Superpositions focuses on coherence and basis changes.

The canonical purification theorem is in Purification, and remote outcome conditioning is in Conditional States.

  1. A source prepares ∣0⟩\lvert0\rangle with probability pp and ∣1⟩\lvert1\rangle with probability 1−p1-p. Find the average density matrix and the probabilities of a computational-basis measurement.
Solution

The average state is

ρ=p∣0⟩⟨0∣+(1−p)∣1⟩⟨1∣.\rho = p\lvert0\rangle\langle0\rvert + (1-p)\lvert1\rangle\langle1\rvert.

In the computational basis,

ρ=(p001−p).\rho = \begin{pmatrix} p&0\\ 0&1-p \end{pmatrix}.

The computational-basis projectors are P0=∣0⟩⟨0∣P_0=\lvert0\rangle\langle0\rvert and P1=∣1⟩⟨1∣P_1=\lvert1\rangle\langle1\rvert. Therefore

p(0)=Tr⁡(ρP0)=p,p(0)=\operatorname{Tr}(\rho P_0)=p,

and

p(1)=Tr⁡(ρP1)=1−p.p(1)=\operatorname{Tr}(\rho P_1)=1-p.
  1. Verify explicitly that equal mixtures of the zz-basis states and the xx-basis states both give I2/2I_2/2.
Solution

Completeness gives

∣0⟩⟨0∣+∣1⟩⟨1∣=I2,\lvert0\rangle\langle0\rvert + \lvert1\rangle\langle1\rvert = I_2,

and

∣+⟩⟨+∣+∣−⟩⟨−∣=I2.\lvert+\rangle\langle+\rvert + \lvert-\rangle\langle-\rvert = I_2.

Multiplying either identity by 1/21/2 gives the same average density operator. Every unconditioned qubit measurement therefore has the same statistics for the two ensembles.

  1. For 0<r<10<r<1, verify the nonorthogonal decomposition of ρr\rho_r given above.
Solution

Let

a=1+r2,b=1−r2.a=\sqrt{\frac{1+r}{2}}, \qquad b=\sqrt{\frac{1-r}{2}}.

Then

∣ψ±⟩=a∣0⟩±b∣1⟩.\lvert\psi_\pm\rangle = a\lvert0\rangle \pm b\lvert1\rangle.

Their projectors are

∣ψ±⟩⟨ψ±∣=(a2±ab±abb2).\lvert\psi_\pm\rangle\langle\psi_\pm\rvert = \begin{pmatrix} a^2&\pm ab\\ \pm ab&b^2 \end{pmatrix}.

The equal average cancels the off-diagonal entries:

12∣ψ+⟩⟨ψ+∣+12∣ψ−⟩⟨ψ−∣=(a200b2)=ρr.\begin{aligned} &\frac12 \lvert\psi_+\rangle\langle\psi_+\rvert + \frac12 \lvert\psi_-\rangle\langle\psi_-\rvert \\ &\qquad= \begin{pmatrix} a^2&0\\ 0&b^2 \end{pmatrix} = \rho_r. \end{aligned}

Their overlap is a2−b2=ra^2-b^2=r, so they are nonorthogonal.

  1. Prove that every positive-probability vector in a pure-state ensemble for ρ\rho lies in supp⁡ρ\operatorname{supp}\rho.
Solution

Let ∣χ⟩∈ker⁡ρ\lvert\chi\rangle\in\ker\rho. Then

0=⟨χ∣ρ∣χ⟩=∑ipi∣⟨χ∣ψi⟩∣2.\begin{aligned} 0 &= \langle\chi\rvert\rho\lvert\chi\rangle \\ &= \sum_i p_i \lvert \langle\chi\vert\psi_i\rangle \rvert^2. \end{aligned}

Every summand is nonnegative. For each pi>0p_i>0, it follows that ⟨χ∣ψi⟩=0\langle\chi\vert\psi_i\rangle=0. Thus each ensemble vector is orthogonal to the kernel and lies in the support. Because the ensemble vectors must span the support, at least rank⁡ρ\operatorname{rank}\rho of them are needed.

  1. Show that tracing out the classical register in
ρXQ=∑ipi∣i⟩⟨i∣X⊗ρi(Q)\rho_{XQ} = \sum_i p_i \lvert i\rangle\langle i\rvert_X \otimes \rho_i^{(Q)}

gives the average state on QQ.

Solution

Use

Tr⁡X(∣i⟩⟨i∣X⊗ρi(Q))=ρi(Q)\operatorname{Tr}_X \left( \lvert i\rangle\langle i\rvert_X \otimes \rho_i^{(Q)} \right) = \rho_i^{(Q)}

for every normalized record state. Linearity gives

Tr⁡XρXQ=∑ipiρi(Q)=ρˉQ.\operatorname{Tr}_X\rho_{XQ} = \sum_i p_i\rho_i^{(Q)} = \bar\rho_Q.

The discarded register contained the label needed to select a conditional subensemble.

  1. A fair source prepares ∣0⟩\lvert0\rangle or ∣1⟩\lvert1\rangle. A noisy detector reports the correct label with probability 1−ϵ1-\epsilon and the wrong label with probability ϵ\epsilon. If the detector reports 00, find the posterior probability that ∣0⟩\lvert0\rangle was prepared.
Solution

Bayes’ rule gives

p(i=0∣a=0)=12(1−ϵ)12(1−ϵ)+12ϵ=1−ϵ.\begin{aligned} p(i=0\mid a=0) &= \frac{ \tfrac12(1-\epsilon) }{ \tfrac12(1-\epsilon)+\tfrac12\epsilon } \\ &= 1-\epsilon. \end{aligned}

The equal prior makes the posterior match the detector reliability. This updates the classical preparation label; a complete quantum state update would additionally require the detector’s measurement instrument.

  1. Compare the two-emission states ρiid\rho_{\mathrm{iid}} and ρcorr\rho_{\mathrm{corr}}. Compute ⟨Z⊗Z⟩\langle Z\otimes Z\rangle for each.
Solution

For the independent source,

⟨Z⊗Z⟩iid=Tr⁡[(I22⊗I22)(Z⊗Z)]=14Tr⁡Z Tr⁡Z=0.\begin{aligned} \langle Z\otimes Z\rangle_{\mathrm{iid}} &= \operatorname{Tr} \left[ \left( \frac{I_2}{2}\otimes\frac{I_2}{2} \right) (Z\otimes Z) \right] \\ &= \frac14 \operatorname{Tr}Z\, \operatorname{Tr}Z =0. \end{aligned}

For the correlated source, both emitted bits are always equal, so each component has Z⊗ZZ\otimes Z eigenvalue +1+1. Hence

⟨Z⊗Z⟩corr=1.\langle Z\otimes Z\rangle_{\mathrm{corr}}=1.

The one-copy marginals agree, while the two-copy states and their joint statistics differ.

  1. For ∣Φ+⟩\lvert\Phi^+\rangle, identify the conditional ensembles on AA when BB is measured in the zz basis and in the xx basis. Show that both unconditioned states equal I2/2I_2/2.
Solution

Using

∣Φ+⟩=∣00⟩+∣11⟩2,\lvert\Phi^+\rangle = \frac{ \lvert00\rangle+\lvert11\rangle }{\sqrt2},

a zz-basis measurement on BB gives ∣0⟩A\lvert0\rangle_A or ∣1⟩A\lvert1\rangle_A, each with probability 1/21/2. Its average is

12∣0⟩⟨0∣+12∣1⟩⟨1∣=I22.\frac12 \lvert0\rangle\langle0\rvert + \frac12 \lvert1\rangle\langle1\rvert = \frac{I_2}{2}.

Using instead

∣Φ+⟩=∣++⟩+∣−−⟩2,\lvert\Phi^+\rangle = \frac{ \lvert++\rangle+\lvert--\rangle }{\sqrt2},

an xx-basis measurement gives ∣+⟩A\lvert+\rangle_A or ∣−⟩A\lvert-\rangle_A, again with equal probabilities. The average is

12∣+⟩⟨+∣+12∣−⟩⟨−∣=I22.\frac12 \lvert+\rangle\langle+\rvert + \frac12 \lvert-\rangle\langle-\rvert = \frac{I_2}{2}.

The communicated remote outcome selects a conditional subensemble; without that outcome, the local state is unchanged.