Quantum Joint, Conditional Entropy and Mutual Information

Shannon gave classical information theory three companion quantities — the joint entropy of two variables, the conditional entropy of one given the other, and the mutual information they share — glued together by chain rules and bounded above and below by inequalities everyone learns to trust. Quantum information theory keeps the algebra of those definitions but throws out the intuition. Replace probability distributions by a density operator ρAB\rho_{AB} on a tensor-product space HA⊗HB\mathcal{H}_A\otimes\mathcal{H}_B, replace Shannon's HH by von Neumann's S(ρ)=−Tr ρlog⁡ρS(\rho)=-\mathrm{Tr}\,\rho\log\rho, and the same three quantities appear: the joint entropy S(A,B)S(A,B), the conditional entropy S(A∣B)=S(A,B)−S(B)S(A|B)=S(A,B)-S(B), and the mutual information I(A;B)=S(A)+S(B)−S(A,B)I(A;B)=S(A)+S(B)-S(A,B). What changes is everything about what they mean. The headline surprise is that conditional entropy can be negative. There is no conditional state ρA∣B\rho_{A|B} from which S(A∣B)S(A|B) is an average entropy, so the classical floor H(A∣B)≥0H(A|B)\ge 0 simply disappears: a maximally entangled pair has S(A,B)=0S(A,B)=0 while S(B)=log⁡dS(B)=\log d, forcing S(A∣B)=−log⁡dS(A|B)=-\log d. That negativity is not a bookkeeping artefact — it is a resource, equal to the coherent information that governs quantum channel capacity and to the entanglement a receiver can distil in state merging. Mutual information stays better behaved: it is a relative entropy, I(A;B)=S(ρAB ∥ ρA⊗ρB)≥0I(A;B)=S(\rho_{AB}\,\|\,\rho_A\otimes\rho_B)\ge 0, and it climbs to 2log⁡d2\log d, twice the classical ceiling. Underneath all of it sits one theorem — strong subadditivity — from which subadditivity, the triangle inequality, data processing, and the Holevo bound all descend.

Key takeaways
  • For a bipartite state ρAB\rho_{AB} the joint entropy is S(A,B)=−Tr ρABlog⁡ρABS(A,B)=-\mathrm{Tr}\,\rho_{AB}\log\rho_{AB}, the conditional entropy is S(A∣B)=S(A,B)−S(B)S(A|B)=S(A,B)-S(B), and the mutual information is I(A;B)=S(A)+S(B)−S(A,B)I(A;B)=S(A)+S(B)-S(A,B) — the algebra of Shannon's chain rules carried over verbatim.
  • The defining quantum twist: S(A∣B)S(A|B) can be negative. A maximally entangled pair on d×dd\times d gives S(A∣B)=−log⁡dS(A|B)=-\log d, whereas classical conditional entropy is always ≥0\ge 0.
  • Mutual information is a relative entropy, I(A;B)=S(ρAB ∥ ρA⊗ρB)≥0I(A;B)=S(\rho_{AB}\,\|\,\rho_A\otimes\rho_B)\ge 0, zero iff ρAB=ρA⊗ρB\rho_{AB}=\rho_A\otimes\rho_B, and it reaches 2log⁡d2\log d — double the classical maximum of log⁡d\log d.
  • Subadditivity S(A,B)≤S(A)+S(B)S(A,B)\le S(A)+S(B) and the Araki–Lieb triangle inequality ∣S(A)−S(B)∣≤S(A,B)|S(A)-S(B)|\le S(A,B) bracket the joint entropy from both sides.
  • Strong subadditivity S(A,B,C)+S(B)≤S(A,B)+S(B,C)S(A,B,C)+S(B)\le S(A,B)+S(B,C) — equivalently I(A;BC)≥I(A;B)I(A;BC)\ge I(A;B) or S(A∣BC)≤S(A∣B)S(A|BC)\le S(A|B) — is the deepest fact, and is the data-processing inequality in disguise.
  • Key idea: Conditional entropy S(A∣B)=S(A,B)−S(B)S(A|B)=S(A,B)-S(B) can go negative — its negative is the coherent information Ic(A⟩B)I_c(A\rangle B), the basic quantum-channel resource — while mutual information I(A;B)=S(ρAB∥ρA⊗ρB)≥0I(A;B)=S(\rho_{AB}\|\rho_A\otimes\rho_B)\ge 0 measures all correlations and is governed by strong subadditivity.
The core insight

Conditional entropy S(A∣B)=S(A,B)−S(B)S(A|B)=S(A,B)-S(B) can be negative — its negative is the coherent information Ic(A⟩B)I_c(A\rangle B), the basic quantum-channel resource — while mutual information I(A;B)=S(ρAB∥ρA⊗ρB)≥0I(A;B)=S(\rho_{AB}\|\rho_A\otimes\rho_B)\ge 0 measures all correlations and is governed by strong subadditivity.

Where this lives today

These entropies are the standard measuring instruments of modern quantum information. In quantum channel coding, the Lloyd–Shor–Devetak theorem sets the quantum capacity equal to the regularized coherent information max⁡ρIc(A⟩B)\max_\rho I_c(A\rangle B); the search for its single-letter form drives the study of degradable and complementary channels, and superactivation — two zero-capacity channels with positive joint capacity — is a statement about the non-additivity of −S(A∣B)-S(A|B). In quantum key distribution, the duality S(A∣B)=−S(A∣C)S(A|B)=-S(A|C) is the security statement: if Bob's conditional entropy about the key is low, Eve's (CC) is forced high, and the secret-key rate is written in these terms via the Devetak–Winter formula. In many-body physics and holography, I(A;B)I(A;B) across a boundary obeys area laws in gapped ground states; the Ryu–Takayanagi formula computes entanglement entropy geometrically, and strong subadditivity becomes a constraint on spacetime. Negative conditional entropy has been measured — photonic and NMR realizations of state merging demonstrate entanglement gain when S(A∣B)<0S(A|B)<0. The open frontier is the capacity problem itself: no computable formula is known for the quantum capacity of a general channel, because no one has tamed the non-additivity of coherent information.

The physical picture

Start with the single fact that reorganizes everything: a pure entangled state is less uncertain as a whole than in either of its parts. If ∣ψ⟩AB|\psi\rangle_{AB} is pure, S(A,B)=0S(A,B)=0, yet tracing out BB leaves a mixed ρA\rho_A with S(A)>0S(A)>0. Classically, learning nothing about the whole while being uncertain about a part is impossible; for entanglement it is generic. The quantity that records it is the conditional entropy S(A∣B)=S(A,B)−S(B)S(A|B)=S(A,B)-S(B), driven below zero exactly when BB is entangled with AA. The first figure puts real numbers on the smallest case — a Bell pair — showing the conditional-entropy bar dipping under the axis while the mutual-information bar overshoots the classical ceiling.

Figure
For a Bell state of two qubits the joint state is pure so S(A,B) = 0, each marginal is maximally mixed so S(A) = S(B) = 1 bit, giving mutual information I(A;B) = 2 bits — double the classical ceiling of log d = 1 bit — while the conditional entropy of A given B equals −1 bit, dipping below zero
The Bell pair: conditional entropy goes negative, mutual information doubles the classical cap entropy (bits) classical ceiling log d = 1 bit 2 1 0 −1 S(A) = 1 S(B) = 1 S(A,B) = 0 I(A;B) = 2 S(A given B) = −1

The Bell pair is one point; the whole story is a curve. Take the one-parameter family of pure states p ∣00⟩+1−p ∣11⟩\sqrt{p}\,|00\rangle+\sqrt{1-p}\,|11\rangle and slide pp from a product state (p=0p=0 or 11) to maximal entanglement (p=12p=\tfrac12). Each marginal has spectrum {p,1−p}\{p,1-p\}, so S(A)=S(B)=H(p)S(A)=S(B)=H(p), the binary entropy, while S(A,B)=0S(A,B)=0 throughout. Mutual information I(A;B)=2H(p)I(A;B)=2H(p) and conditional entropy S(A∣B)=−H(p)S(A|B)=-H(p) are perfect mirror images across the axis: everything the joint state hides below zero in S(A∣B)S(A|B) reappears, doubled, as shared correlation in I(A;B)I(A;B). The magnitude −S(A∣B)=H(p)-S(A|B)=H(p) is the coherent information — the ebits a receiver holding BB could distil. The second figure traces both.

Figure
For the entangled pure state with Schmidt coefficients √p and √(1−p), the mutual information I(A;B) = 2H(p) peaks at 2 bits when p = 1/2, while the conditional entropy of A given B equals −H(p) and dives to −1 bit at the same point — the negativity is exactly the coherent information distillable as entanglement
Mirror images: I(A;B) = 2H(p) above, S(A given B) = −H(p) below 2 1 0 −1 bits 0 0.5 1 Schmidt weight p I = 2 bits S(A given B) = −1 bit mutual information I(A;B) = 2H(p) conditional entropy −H(p)

One theme underlies every proof below: purification simplifies. Any mixed ρAB\rho_{AB} is the marginal of a pure ∣ψ⟩ABC|\psi\rangle_{ABC}, and for a pure global state complementary parts share entropy, S(AB)=S(C)S(AB)=S(C) and S(A)=S(BC)S(A)=S(BC) — which is what turns the Araki–Lieb inequality and the duality S(A∣B)=−S(A∣C)S(A|B)=-S(A|C) into one-line consequences.

The core equations

The starting point is a definition: apply von Neumann's entropy to the whole and to the parts. The joint entropy is the entropy of the global density operator, computed from its eigenvalues as for any single system.

S(A,B)  =  S(ρAB)  =  − Tr(ρABlog⁡ρAB)(1)S(A,B)\;=\;S(\rho_{AB})\;=\;-\,\mathrm{Tr}\big(\rho_{AB}\log\rho_{AB}\big) \qquad (1)

where: ρAB\rho_{AB} — density operator on HA⊗HB\mathcal{H}_A\otimes\mathcal{H}_B; log⁡\log — base-2 logarithm, so entropy is in bits (natural log gives nats); Tr\mathrm{Tr} — trace over the whole space. Reading: S(A,B)S(A,B) is the eigenvalue entropy of the joint state, blind to the tensor split. The conditional entropy is defined by the chain rule — there is no averaged-state definition to fall back on — using the marginal ρB=TrA ρAB\rho_B=\mathrm{Tr}_A\,\rho_{AB}. Keeping only this identity is what allows the quantity to go negative.

S(A∣B)  =  S(A,B)−S(B),ρB=TrA ρAB(2)S(A|B)\;=\;S(A,B)-S(B),\qquad \rho_B=\mathrm{Tr}_A\,\rho_{AB} \qquad (2)

where: TrA\mathrm{Tr}_A — partial trace over AA, producing the reduced state ρB\rho_B; S(B)=S(ρB)S(B)=S(\rho_B). Reading: S(A∣B)S(A|B) is "the entropy AA adds once you already hold BB", and for an entangled pair that increment is negative. Mutual information is the symmetric combination that survives from Shannon theory, equal both to the inclusion–exclusion form and to the marginal-minus-conditional form.

I(A;B)  =  S(A)+S(B)−S(A,B)  =  S(A)−S(A∣B)(3)I(A;B)\;=\;S(A)+S(B)-S(A,B)\;=\;S(A)-S(A|B) \qquad (3)

where: I(A;B)I(A;B) — total (classical plus quantum) correlation; S(A)=S(ρA)S(A)=S(\rho_A) with ρA=TrB ρAB\rho_A=\mathrm{Tr}_B\,\rho_{AB}. Reading: it counts how much less uncertain the pair is than the sum of its parts. The single most useful re-expression identifies mutual information as a quantum relative entropy against the product reference; non-negativity and monotonicity then come for free.

I(A;B)  =  S(ρAB ∥ ρA⊗ρB)  ≥  0(4)I(A;B)\;=\;S\big(\rho_{AB}\,\big\|\,\rho_A\otimes\rho_B\big)\;\ge\;0 \qquad (4)

where: S(ρ∥σ)=Tr ρ(log⁡ρ−log⁡σ)S(\rho\|\sigma)=\mathrm{Tr}\,\rho(\log\rho-\log\sigma) is the quantum relative entropy. Reading: as a "distance" from ρAB\rho_{AB} to the product state, I(A;B)≥0I(A;B)\ge 0, zero exactly when ρAB=ρA⊗ρB\rho_{AB}=\rho_A\otimes\rho_B. Non-negativity of I(A;B)I(A;B) is subadditivity; the matching lower bound on the joint entropy is the Araki–Lieb triangle inequality. Together they pin S(A,B)S(A,B) between two marginal-dependent walls.

∣S(A)−S(B)∣  ≤  S(A,B)  ≤  S(A)+S(B)(5)|S(A)-S(B)|\;\le\;S(A,B)\;\le\;S(A)+S(B) \qquad (5)

where: the right inequality is subadditivity, the left is Araki–Lieb (proved via purification). Reading: equivalently −S(A)≤S(A∣B)≤S(A)-S(A)\le S(A|B)\le S(A) — the conditional entropy is squeezed symmetrically about zero, not floored at it. The deepest relation is strong subadditivity, the Lieb–Ruskai theorem on a tripartite state ρABC\rho_{ABC}; everything structural in quantum Shannon theory is a corollary.

S(A,B,C)+S(B)  ≤  S(A,B)+S(B,C)(6)S(A,B,C)+S(B)\;\le\;S(A,B)+S(B,C) \qquad (6)

where: S(A,B,C)S(A,B,C) — entropy of the tripartite state; S(B)S(B) — entropy of the central marginal. Reading: equivalently I(A;BC)≥I(A;B)I(A;BC)\ge I(A;B) and S(A∣BC)≤S(A∣B)S(A|BC)\le S(A|B) — discarding a subsystem never increases correlations, and conditioning on more never increases conditional entropy. The negative of conditional entropy earns its own name and its own operational life as the central rate in quantum channel coding.

Ic(A⟩B)  =  −S(A∣B)  =  S(B)−S(A,B)(7)I_c(A\rangle B)\;=\;-S(A|B)\;=\;S(B)-S(A,B) \qquad (7)

where: Ic(A⟩B)I_c(A\rangle B) — coherent information; the regularized maximum of IcI_c over channel inputs is the quantum capacity (the LSD theorem). Reading: wherever S(A∣B)<0S(A|B)<0 there is positive coherent information, and quantum information can be sent. Finally, purification gives a duality with no classical analogue: the sign of conditional entropy is exclusive between the two complementary partners of a pure global state.

S(A∣B)  =  − S(A∣C)for any purification ∣ψ⟩ABC(8)S(A|B)\;=\;-\,S(A|C)\quad\text{for any purification }|\psi\rangle_{ABC} \qquad (8)

where: ∣ψ⟩ABC|\psi\rangle_{ABC} — pure state with ρAB=TrC ∣ψ⟩ ⁣⟨ψ∣\rho_{AB}=\mathrm{Tr}_C\,|\psi\rangle\!\langle\psi|. Reading: AA can have positive conditional entropy with at most one of B,CB,C — a monogamy-flavoured constraint that underlies the security of key distribution.

Derivation AThe relative-entropy identity and the non-negativity of mutual information

The goal is to prove, from one soft assumption — that quantum relative entropy is non-negative — that mutual information is non-negative and hence the joint entropy subadditive, S(A,B)≤S(A)+S(B)S(A,B)\le S(A)+S(B). The engine is Klein's inequality, S(ρ∥σ)≥0S(\rho\|\sigma)\ge 0 with equality iff ρ=σ\rho=\sigma, which follows from operator concavity of the logarithm. We compare the true state against the product of its own marginals, expand the relative entropy, and watch the marginal terms collapse into exactly I(A;B)I(A;B), turning non-negativity of a distance into non-negativity of a correlation.

Step 1. Take the reference state σ=ρA⊗ρB\sigma=\rho_A\otimes\rho_B, which has the same marginals as ρAB\rho_{AB}, and write out S(ρAB∥ρA⊗ρB)=Tr ρABlog⁡ρAB−Tr ρABlog⁡(ρA⊗ρB)S(\rho_{AB}\|\rho_A\otimes\rho_B)=\mathrm{Tr}\,\rho_{AB}\log\rho_{AB}-\mathrm{Tr}\,\rho_{AB}\log(\rho_A\otimes\rho_B). Why: choosing the product reference isolates correlations — the two states differ only in how AA and BB are tied together, not in their local statistics.

Step 2. Split the tensor logarithm, log⁡(ρA⊗ρB)=log⁡ρA⊗I+I⊗log⁡ρB\log(\rho_A\otimes\rho_B)=\log\rho_A\otimes I+I\otimes\log\rho_B, valid because ρA⊗I\rho_A\otimes I and I⊗ρBI\otimes\rho_B commute. Why: the logarithm of a product of commuting operators is the sum of logarithms, which is what lets the joint trace break into marginal pieces.

Step 3. Evaluate the cross terms by partial trace: Tr ρAB(log⁡ρA⊗I)=Tr ρAlog⁡ρA=−S(A)\mathrm{Tr}\,\rho_{AB}(\log\rho_A\otimes I)=\mathrm{Tr}\,\rho_A\log\rho_A=-S(A), and likewise the BB term gives −S(B)-S(B); the first term is −S(A,B)-S(A,B). Assemble: S(ρAB∥ρA⊗ρB)=−S(A,B)+S(A)+S(B)=I(A;B)S(\rho_{AB}\|\rho_A\otimes\rho_B)=-S(A,B)+S(A)+S(B)=I(A;B). Why: each cross term sees only the corresponding marginal, so the tripartite-looking expression reduces to the three ordinary entropies.

Step 4. Apply Klein: I(A;B)=S(ρAB∥ρA⊗ρB)≥0I(A;B)=S(\rho_{AB}\|\rho_A\otimes\rho_B)\ge 0, i.e. S(A,B)≤S(A)+S(B)S(A,B)\le S(A)+S(B), with equality iff ρAB=ρA⊗ρB\rho_{AB}=\rho_A\otimes\rho_B. Why: a distance that vanishes only at coincidence turns "zero correlation" into "exact product state" — there is no residual hidden correlation, classical or quantum.

Go deeper · Derivation B · 1 minThe Araki–Lieb triangle inequality from purification
Derivation BThe Araki–Lieb triangle inequality from purification

The aim is the lower wall on the joint entropy, S(A,B)≥∣S(A)−S(B)∣S(A,B)\ge|S(A)-S(B)|, which has no classical counterpart (classically H(A,B)≥max⁡(H(A),H(B))H(A,B)\ge\max(H(A),H(B)), a statement quantum entropy violates). The trick is to buy the lower bound from the upper one: purify ρAB\rho_{AB} to a pure state on a larger space, exploit that complementary parts of a pure state share entropy, and apply the subadditivity just proved to a chosen pair — the purifying system converts a triangle inequality into an instance of subadditivity.

Step 1. Introduce a reference RR and a purification ∣ψ⟩ABR|\psi\rangle_{ABR} with TrR∣ψ⟩ ⁣⟨ψ∣=ρAB\mathrm{Tr}_R|\psi\rangle\!\langle\psi|=\rho_{AB}. For the global pure state the complementary-subsystem entropies match: S(A,B)=S(R)S(A,B)=S(R) and S(A,R)=S(B)S(A,R)=S(B). Why: a pure bipartition has equal Schmidt spectra on both sides, so any region and its complement carry identical entropy — the equalities are free.

Step 2. Apply subadditivity to the pair (A,R)(A,R): S(A,R)≤S(A)+S(R)S(A,R)\le S(A)+S(R). Why: subadditivity was already established for any two systems, and A,RA,R are just such a pair inside the enlarged pure state.

Step 3. Substitute the pure-state equalities S(A,R)=S(B)S(A,R)=S(B) and S(R)=S(A,B)S(R)=S(A,B) to get S(B)≤S(A)+S(A,B)S(B)\le S(A)+S(A,B), i.e. S(A,B)≥S(B)−S(A)S(A,B)\ge S(B)-S(A). Why: the substitution trades the auxiliary RR-entropies back for the physical joint and marginal entropies, leaving a bound purely in A,BA,B quantities.

Step 4. Repeat with A↔BA\leftrightarrow B to get S(A,B)≥S(A)−S(B)S(A,B)\ge S(A)-S(B), and combine: S(A,B)≥∣S(A)−S(B)∣S(A,B)\ge|S(A)-S(B)|. Why: symmetry supplies the mirror bound, and the two together give the absolute value. *Equality holds, for example, for a pure state, where S(A,B)=0=∣S(A)−S(B)∣S(A,B)=0=|S(A)-S(B)|.*

Go deeper · Derivation C · 1 minStrong subadditivity is monotonicity of mutual information
Derivation CStrong subadditivity is monotonicity of mutual information

The purpose is to show that the Lieb–Ruskai inequality S(ABC)+S(B)≤S(AB)+S(BC)S(ABC)+S(B)\le S(AB)+S(BC), the conditional form S(A∣BC)≤S(A∣B)S(A|BC)\le S(A|B), and "throwing away CC cannot increase I(A;⋅)I(A;\cdot)" are one theorem written three ways — and that this common statement is exactly the data-processing inequality. We do not prove strong subadditivity from scratch (that needs Lieb's concavity theorem); we prove the equivalences that make it usable, expanding the two mutual informations on a tripartite state until the algebra reveals their difference is the Lieb–Ruskai defect.

Step 1. Expand I(A;BC)=S(A)+S(BC)−S(ABC)I(A;BC)=S(A)+S(BC)-S(ABC) and I(A;B)=S(A)+S(B)−S(AB)I(A;B)=S(A)+S(B)-S(AB) from the definitions on ρABC\rho_{ABC} and its marginals. Why: both are ordinary mutual informations, one treating BCBC as a single system, so the same inclusion–exclusion formula applies.

Step 2. Subtract: I(A;BC)−I(A;B)=S(BC)+S(AB)−S(ABC)−S(B)I(A;BC)-I(A;B)=S(BC)+S(AB)-S(ABC)-S(B), the S(A)S(A) terms cancelling. Why: the local entropy of AA appears in both and drops out, leaving a difference built only from entropies of regions containing BB.

Step 3. Recognize the right-hand side as the Lieb–Ruskai defect: I(A;BC)−I(A;B)≥0I(A;BC)-I(A;B)\ge 0 is identical to S(AB)+S(BC)≥S(ABC)+S(B)S(AB)+S(BC)\ge S(ABC)+S(B). Why: the two inequalities have the same content term for term, so one holds iff the other does — they are logically the same statement.

Step 4. Rewrite through conditional entropy: subtracting S(A)S(A) differently gives S(A∣BC)≤S(A∣B)S(A|BC)\le S(A|B), "conditioning on more never increases conditional entropy". Letting CC be the purifying environment of a channel N\mathcal{N} acting on BB yields I(A;N(B))≤I(A;B)I(A;\mathcal{N}(B))\le I(A;B) — the data-processing inequality. Why: identifying CC with a channel's environment turns "discard a subsystem" into "apply a quantum operation", so monotonicity under discarding becomes monotonicity under any processing.

Limiting cases

Evaluating the three quantities on canonical states fixes their range and exposes exactly where the classical intuition survives and where it breaks.

CaseResultMeaning
Product state ρA⊗ρB\rho_A\otimes\rho_BI(A;B)=0,S(A∣B)=S(A)I(A;B)=0,\quad S(A\vert B)=S(A)No correlation; conditional entropy equals the marginal, just as classically. The unique zero of mutual information.
Maximally entangled ∣Φ+⟩\vert\Phi^+\rangle on d×dd\times dS(A,B)=0,    S(A∣B)=−log⁡d,    I(A;B)=2log⁡dS(A,B)=0,\;\;S(A\vert B)=-\log d,\;\;I(A;B)=2\log dMaximal negativity of S(A∣B)S(A\vert B) and maximal II — double the classical ceiling log⁡d\log d.
Classically correlated ∑xpx ∣x⟩ ⁣⟨x∣A⊗ρxB\sum_x p_x\,\vert x\rangle\!\langle x\vert_A\otimes\rho_x^BS(A∣B)≥0,0≤I(A;B)≤log⁡dS(A\vert B)\ge 0,\quad 0\le I(A;B)\le\log dSeparable "diagonal" states reproduce Shannon bounds: conditional entropy stays non-negative, mutual information capped at log⁡d\log d.
General bipartite bounds∣S(A)−S(B)∣≤S(A,B)≤S(A)+S(B)\vert S(A)-S(B)\vert\le S(A,B)\le S(A)+S(B)Araki–Lieb floor and subadditivity ceiling bracket the joint entropy; equivalently −S(A)≤S(A∣B)≤S(A)-S(A)\le S(A\vert B)\le S(A).

Worked examples

1 · Conditional entropy and mutual information of an entangled pair (fully worked)

Take the pure state ∣ψ⟩=p ∣00⟩+1−p ∣11⟩|\psi\rangle=\sqrt{p}\,|00\rangle+\sqrt{1-p}\,|11\rangle. Compute S(A,B)S(A,B), S(A)S(A), S(A∣B)S(A|B), I(A;B)I(A;B), and the coherent information Ic(A⟩B)I_c(A\rangle B), first for the Bell case p=12p=\tfrac12 and then for p=0.8p=0.8.

Step 1. The global state is pure, so S(A,B)=S(ρAB)=0S(A,B)=S(\rho_{AB})=0 for every pp. This already guarantees S(A∣B)=−S(B)≤0S(A|B)=-S(B)\le 0 and I(A;B)=S(A)+S(B)I(A;B)=S(A)+S(B).

Step 2. Trace out BB: ρA=p ∣0⟩ ⁣⟨0∣+(1−p) ∣1⟩ ⁣⟨1∣\rho_A=p\,|0\rangle\!\langle 0|+(1-p)\,|1\rangle\!\langle 1|, spectrum {p,1−p}\{p,1-p\}, so S(A)=S(B)=H(p)=−plog⁡2p−(1−p)log⁡2(1−p)S(A)=S(B)=H(p)=-p\log_2 p-(1-p)\log_2(1-p).

Step 3. Bell case p=12p=\tfrac12: H(12)=1H(\tfrac12)=1 bit, so S(A)=S(B)=1S(A)=S(B)=1. Then S(A∣B)=S(A,B)−S(B)=0−1=−1 bitS(A|B)=S(A,B)-S(B)=0-1=\mathbf{-1\ bit}, I(A;B)=S(A)+S(B)−S(A,B)=1+1−0=2 bitsI(A;B)=S(A)+S(B)-S(A,B)=1+1-0=\mathbf{2\ bits}, and Ic(A⟩B)=−S(A∣B)=1 bitI_c(A\rangle B)=-S(A|B)=\mathbf{1\ bit}. This saturates every quantum ceiling for two qubits: maximal I=2log⁡2I=2\log 2 and maximal negativity S(A∣B)=−log⁡2S(A|B)=-\log 2.

Step 4. Non-maximal case p=0.8p=0.8: H(0.8)=−0.8log⁡20.8−0.2log⁡20.2=0.2575+0.4644=0.7219 bitH(0.8)=-0.8\log_2 0.8-0.2\log_2 0.2=0.2575+0.4644=\mathbf{0.7219\ bit}. Hence S(A)=S(B)=0.7219S(A)=S(B)=0.7219, S(A∣B)=−0.7219S(A|B)=-0.7219 bit, I(A;B)=2H(0.8)=1.4439 bitsI(A;B)=2H(0.8)=\mathbf{1.4439\ bits}, and Ic(A⟩B)=0.7219 bitI_c(A\rangle B)=\mathbf{0.7219\ bit}.

Step 5. Operationally: in state merging a receiver holding BB absorbs AA using S(A∣B)<0S(A|B)<0 — sending no qubits and distilling Ic(A⟩B)I_c(A\rangle B) ebits per copy (11 ebit for the Bell pair, 0.720.72 ebit at p=0.8p=0.8), while I=2H(p)I=2H(p) is the total correlation to be paid for in bringing the shares together. Bell: S(A∣B)=−1S(A|B)=-1, I=2I=2, Ic=1I_c=1; at p=0.8p=0.8: S(A∣B)=−0.72S(A|B)=-0.72, I=1.44I=1.44, Ic=0.72I_c=0.72 (bits).

2 · The Holevo quantity of a two-state ensemble (fully worked)

Alice encodes a classical bit by sending either ∣0⟩|0\rangle or ∣+⟩|+\rangle with equal probability. Form the classical–quantum state ρXB=12∣0⟩ ⁣⟨0∣X⊗∣0⟩ ⁣⟨0∣+12∣1⟩ ⁣⟨1∣X⊗∣+⟩ ⁣⟨+∣\rho_{XB}=\tfrac12|0\rangle\!\langle 0|_X\otimes|0\rangle\!\langle 0|+\tfrac12|1\rangle\!\langle 1|_X\otimes|+\rangle\!\langle +| and compute its mutual information I(X;B)I(X;B) — the Holevo quantity χ\chi that bounds how much classical information a measurement of BB can recover.

Step 1. For a classical–quantum state the mutual information equals the Holevo χ=S(ρˉ)−∑xpxS(ρx)\chi=S(\bar\rho)-\sum_x p_x S(\rho_x), with average state ρˉ=12∣0⟩ ⁣⟨0∣+12∣+⟩ ⁣⟨+∣\bar\rho=\tfrac12|0\rangle\!\langle 0|+\tfrac12|+\rangle\!\langle +|. Why: the classical register XX has no coherences, so S(X)=1S(X)=1, S(XB)=1+∑xpxS(ρx)S(XB)=1+\sum_x p_x S(\rho_x), and the definition collapses to the Holevo form.

Step 2. Each signal state is pure, so S(∣0⟩)=S(∣+⟩)=0S(|0\rangle)=S(|+\rangle)=0 and the subtracted term vanishes: χ=S(ρˉ)\chi=S(\bar\rho).

Step 3. Build ρˉ=12(1000)+12⋅12(1111)=(3/41/41/41/4)\bar\rho=\tfrac12\begin{pmatrix}1&0\\0&0\end{pmatrix}+\tfrac12\cdot\tfrac12\begin{pmatrix}1&1\\1&1\end{pmatrix}=\begin{pmatrix}3/4&1/4\\1/4&1/4\end{pmatrix}. Its eigenvalues solve λ2−λ+18=0\lambda^2-\lambda+\tfrac18=0, giving λ=1±1/22={0.8536,  0.1464}\lambda=\tfrac{1\pm\sqrt{1/2}}{2}=\{0.8536,\;0.1464\}.

Step 4. Evaluate the entropy: χ=−0.8536log⁡20.8536−0.1464log⁡20.1464=0.1950+0.4060=0.601 bits\chi=-0.8536\log_2 0.8536-0.1464\log_2 0.1464=0.1950+0.4060=\mathbf{0.601\ bits}.

Step 5. Interpret: even though Alice used two perfectly distinguishable labels, the non-orthogonal signals ∣0⟩|0\rangle and ∣+⟩|+\rangle (overlap ∣⟨0∣+⟩∣2=12|\langle 0|+\rangle|^2=\tfrac12) let Bob extract at most 0.6010.601 bit of the 11 bit sent — the Holevo bound in action, and a direct corollary of strong subadditivity. χ=I(X;B)=0.601\chi=I(X;B)=0.601 bit <1<1 bit.

3 · A classically correlated state hits the classical ceiling

Compare the Bell pair with the separable state ρAB=12∣00⟩ ⁣⟨00∣+12∣11⟩ ⁣⟨11∣\rho_{AB}=\tfrac12|00\rangle\!\langle 00|+\tfrac12|11\rangle\!\langle 11|.

Step 1. The eigenvalues of ρAB\rho_{AB} are {12,12}\{\tfrac12,\tfrac12\}, so S(A,B)=1S(A,B)=1 bit, and both marginals are maximally mixed, S(A)=S(B)=1S(A)=S(B)=1 bit. Hence S(A∣B)=1−1=0S(A|B)=1-1=\mathbf{0} and I(A;B)=1+1−1=1 bit=log⁡dI(A;B)=1+1-1=\mathbf{1\ bit}=\log d — conditional entropy on the classical floor, mutual information on the classical ceiling.

Step 2. The Bell state 12(∣00⟩+∣11⟩)\tfrac{1}{\sqrt2}(|00\rangle+|11\rangle) has the same marginals but S(A,B)=0S(A,B)=0, driving S(A∣B)S(A|B) to −1-1 and II to 22. Same local descriptions; entanglement alone doubles the correlation and pushes conditional entropy from 00 to −1-1 bit.

Physics of the portrait

The idea that "the entropy of a part can exceed the entropy of the whole" took decades to be seen as a resource rather than a paradox. It runs from von Neumann's 1932 definition of quantum entropy, through the hard analysis of Lieb and Ruskai, to a clean operational meaning only in this century.

Origins · 1 minquantum conditional entropy and how this was discovered
QC
quantum conditional entropy
the possibly negative quantity S(A given B) = S(A,B) − S(B) · quantum Shannon theory, 1932 to 2005

Quantum conditional entropy is a quantity whose very sign rewrote how physicists think about information. When John von Neumann introduced S(ρ)=−Tr ρlog⁡ρS(\rho)=-\mathrm{Tr}\,\rho\log\rho in 1932, he could not have anticipated that the naive chain-rule combination S(A,B)−S(B)S(A,B)-S(B) would ever be negative — classically it is an average that cannot be. The analytic backbone came in 1973, when Elliott Lieb and Mary Beth Ruskai proved strong subadditivity, supplying the inequality from which subadditivity, the Araki–Lieb bound, and monotonicity of relative entropy all follow; Lieb's concavity theorem for the trace function was the decisive lemma. Through the 1990s the operational meaning crystallized: Schumacher and Nielsen (1996) identified the coherent information −S(A∣B)-S(A|B) as the quantity controlling quantum channel capacity, and in 1997 Cerf and Adami argued that negative conditional entropy is the signature of entanglement. The story closed in 2005 when Horodecki, Oppenheim and Winter proved the state-merging theorem: the cost of moving Alice's share to Bob is exactly S(A∣B)S(A|B) qubits, and when it is negative the parties instead harvest that many ebits. A quantity that looked like a paradox became a currency.

History
1932
— von Neumann defines the quantum entropy S(ρ) = −Tr ρ log ρ
1973
— Lieb and Ruskai prove strong subadditivity of quantum entropy
1996
— Schumacher and Nielsen tie coherent information to quantum channel capacity
1997
— Cerf and Adami read negative conditional entropy as a signature of entanglement
2005
— Horodecki, Oppenheim and Winter give S(A given B) its operational meaning via state merging

Going further

Texts. Nielsen & Chuang, Quantum Computation and Quantum Information, ch. 11 (entropy and information) · Wilde, Quantum Information Theory, 2nd ed., ch. 11–13 (relative entropy, strong subadditivity, coherent information) · Preskill, Lecture Notes on Quantum Computation, ch. 10 · Watrous, The Theory of Quantum Information, ch. 5 · Kitaev, Shen & Vyalyi, Classical and Quantum Computation.

Primary sources. Lieb & Ruskai, J. Math. Phys. 14, 1938 (1973) — strong subadditivity · Cerf & Adami, Phys. Rev. Lett. 79, 5194 (1997) — negative conditional entropy · Horodecki, Oppenheim & Winter, Nature 436, 673 (2005) — quantum state merging · Devetak, IEEE Trans. Inf. Theory 51, 44 (2005) — coherent information as quantum capacity. The maximally entangled values S(A,B)=0S(A,B)=0, S(A∣B)=−log⁡dS(A|B)=-\log d, I=2log⁡dI=2\log d, the pure-family curves I=2H(p)I=2H(p) and S(A∣B)=−H(p)S(A|B)=-H(p), and the classically correlated I=log⁡dI=\log d are standard results. The Holevo example χ=0.601\chi=0.601 bit follows directly from the eigenvalues {0.8536,0.1464}\{0.8536,0.1464\} of ρˉ=(3/41/41/41/4)\bar\rho=\big(\begin{smallmatrix}3/4&1/4\\1/4&1/4\end{smallmatrix}\big).

Prerequisites. Von Neumann Entropy · Shannon Entropy and Classical Information Measures · Quantum Relative Entropy. Leads to. Strong Subadditivity of Quantum Entropy · Data-Processing Inequality · Holevo Bound · Complementary Channels and Degradability.

Ask the tutor: Ask me why a maximally entangled state pushes S(A∣B)S(A|B) all the way to −log⁡d-\log d, or to trace how strong subadditivity becomes the data-processing inequality.

Why is there no quantum conditional density operator?

Classically H(X∣Y)=∑ypy H(X∣Y=y)H(X|Y)=\sum_y p_y\,H(X|Y=y) is an average of the entropies of well-defined conditional distributions p(x∣y)p(x|y), so it cannot be negative. Quantum-mechanically there is no state ρA∣b\rho_{A|b} playing the role of p(x∣y)p(x|y): measuring BB to fix an outcome bb disturbs the joint state, and the spectrum of ρAB\rho_{AB} does not factor through any classical index on BB. So the averaged-entropy definition has nothing to average. All that survives is the chain-rule identity, which we promote to the definition S(A∣B)≡S(A,B)−S(B)S(A|B)\equiv S(A,B)-S(B). Because it is now a bare difference of entropies rather than an average, it is free to go negative, and does so precisely for entangled states.

What does a negative S(A|B) actually mean operationally?

Its cleanest meaning is the state-merging cost. Alice holds AA, Bob holds BB, they share many copies of ρAB\rho_{AB} plus free classical communication. The optimal rate to transfer Alice's share to Bob is S(A∣B)S(A|B) qubits per copy. When S(A∣B)>0S(A|B)>0 she must send that many qubits; when S(A∣B)<0S(A|B)<0 she sends none, and the protocol leaves them with −S(A∣B)=Ic(A⟩B)-S(A|B)=I_c(A\rangle B) ebits of fresh entanglement — the prior correlation is a resource they can redeploy for teleportation. So negative conditional entropy is "entanglement in the bank", and its magnitude counts the ebits.

How can mutual information reach 2 log d when the classical maximum is log d?

Write I(A;B)=S(A)−S(A∣B)I(A;B)=S(A)-S(A|B). Classically H(A∣B)≥0H(A|B)\ge 0, so I(X;Y)≤H(X)≤log⁡dI(X;Y)\le H(X)\le\log d. Quantum-mechanically S(A∣B)S(A|B) can dip to −log⁡d-\log d for a maximally entangled pair, so I(A;B)I(A;B) reaches S(A)+log⁡d=2log⁡dS(A)+\log d=2\log d. The extra factor of two is not double-counting: one log⁡d\log d is classical correlation readable by local measurements, the other is the quantum correlation stored in entanglement. It is the same factor that lets superdense coding send two classical bits down one qubit.

Is mutual information the same as entanglement?

No — it is broader. I(A;B)I(A;B) measures total correlation, and a classical mixture such as 12∣00⟩ ⁣⟨00∣+12∣11⟩ ⁣⟨11∣\tfrac12|00\rangle\!\langle 00|+\tfrac12|11\rangle\!\langle 11| has I=1I=1 bit with zero entanglement. Entanglement is only the part of the correlation that cannot be made by local operations and classical communication; separable states can carry mutual information but no entanglement. For pure states the two coincide, I(A;B)=2S(A)I(A;B)=2S(A) with S(A)S(A) the entanglement entropy. But in general large I(A;B)I(A;B) means the parties are correlated, not entangled — for that you need an entanglement measure, or the negativity of S(A∣B)S(A|B), which does certify entanglement.

Why is strong subadditivity considered so deep?

Because almost every structural theorem in quantum information is a corollary of it, yet it is hard to prove. Monotonicity of relative entropy, the data-processing inequality, the Holevo bound, the converse parts of capacity theorems, and the impossibility results behind quantum key distribution all reduce to strong subadditivity. Unlike ordinary subadditivity (a one-line consequence of Klein's inequality), its proof needs Lieb's concavity theorem — a genuinely non-trivial fact about trace functions of operators — which is why it resisted proof until 1973. In holography it reappears as a constraint on the geometry of spacetime, underscoring how much physics one inequality can carry.

The duality S(A|B) = −S(A|C) sounds too clean. When does it hold?

It holds for any pure tripartite state ∣ψ⟩ABC|\psi\rangle_{ABC}, which is no restriction at all: every mixed ρAB\rho_{AB} is the marginal of some purification, so you can always append a CC that makes it exact. The proof is two lines using pure-state marginal equalities: S(AB)=S(C)S(AB)=S(C) and S(B)=S(AC)S(B)=S(AC) give S(A∣B)=S(AB)−S(B)=S(C)−S(AC)=−S(A∣C)S(A|B)=S(AB)-S(B)=S(C)-S(AC)=-S(A|C). The consequence is a monogamy-like exclusivity — AA can have non-negative conditional entropy with at most one of B,CB,C — and it is the mathematical heart of why an eavesdropper's information and a legitimate receiver's information trade off so sharply in security proofs.

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