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QCQI – Chapter 10 Detailed Summary: Entanglement, Entropy & Information Tasks

Course Notes (MSU)

Learning Objectives

  • Use von Neumann entropy S(ρ)S(\rho), mutual information I(A:B)I(A{:}B), and conditional entropy S(AB)S(A|B).

  • State and apply key inequalities: subadditivity, Araki–Lieb, and strong subadditivity (SSA).

  • Characterize and manipulate entanglement under LOCC: Schmidt form, majorization, concentration/dilution, distillation.

  • Compute mixed-state entanglement measures in small systems: concurrence, entanglement of formation, negativity.

  • Implement and analyze canonical information tasks: teleportation, dense coding, and entanglement swapping.

Entropy and Information

von Neumann entropy S(ρ)=Trρlog2ρS(\rho)=-\operatorname{Tr}\,\rho\log_2\rho; for pure bipartite ψAB|\psi\rangle_{AB} with Schmidt coefficients {λi}\{\lambda_i\}, the entanglement entropy is S(ρA)=S(ρB)=H({λi})S(\rho_A)=S(\rho_B)=H(\{\lambda_i\}).

Mutual information I(A:B)=S(ρA)+S(ρB)S(ρAB)I(A{:}B)=S(\rho_A)+S(\rho_B)-S(\rho_{AB}) quantifies total correlations. Conditional entropy S(AB)=S(ρAB)S(ρB)S(A|B)=S(\rho_{AB})-S(\rho_B) may be negative in quantum theory (signature of entanglement).

Relative entropy S(ρσ)=Trρ(logρlogσ)S(\rho\Vert\sigma)=\operatorname{Tr}\,\rho(\log\rho-\log\sigma) is nonnegative and monotone under CPTP maps (data-processing).

Eureka! Negative S(AB)S(A|B) (impossible classically) flags that AA can be predicted from BB better than classically—entanglement supplies the “missing bits.”

Key inequalities

Subadditivity: S(ρAB)S(ρA)+S(ρB),Araki–Lieb: S(ρA)S(ρB)S(ρAB),Strong subadditivity: S(ρABC)+S(ρB)S(ρAB)+S(ρBC).\begin{align} \text{Subadditivity: } & S(\rho_{AB}) \le S(\rho_A)+S(\rho_B),\\ \text{Araki–Lieb: } & \left|S(\rho_A)-S(\rho_B)\right| \le S(\rho_{AB}),\\ \text{Strong subadditivity: } & S(\rho_{ABC})+S(\rho_B)\le S(\rho_{AB})+S(\rho_{BC}). \end{align}

SSA     \iff conditional mutual information I(A:CB)0I(A{:}C|B)\ge 0.

Eureka! SSA is the “triangle inequality” of quantum information: correlations cannot increase when discarding systems.

Schmidt Decomposition & Majorization

Any pure bipartite state has ψAB=iλiiAiB|\psi\rangle_{AB}=\sum_i \sqrt{\lambda_i}|i\rangle_A|i\rangle_B. Under LOCC, ψϕ|\psi\rangle\to|\phi\rangle is possible iff λψ\boldsymbol{\lambda}^\psi is majorized by λϕ\boldsymbol{\lambda}^\phi (Nielsen’s theorem).

Eureka! LOCC cannot sharpen the Schmidt spectrum. Conversions are governed by a single preorder: majorization.

Entanglement Manipulation

Concentration (pure states)

From many copies of a partially entangled state, LOCC can produce nearly nH({λ})n H(\{\lambda\}) Bell pairs (typical subspace argument).

Dilution

Conversely, Bell pairs can be consumed to create copies of a target entangled state at rate H({λ})H(\{\lambda\}).

Distillation (mixed states)

Protocols such as BBPSSW/DEJMPS use bilateral CNOTs and measurement to increase fidelity with a Bell state, keeping pairs on certain outcomes.

Eureka! Pure-state entanglement is fungible: rate equals the entropy of entanglement. Mixed-state entanglement is subtler: distinct notions (distillable entanglement, entanglement cost) need not coincide.

Separability Tests & Mixed-State Measures

PPT criterion: If ρTB0\rho^{T_B}\ngeq 0 then ρ\rho is entangled (negativity N(ρ)=ρTB112\mathcal{N}(\rho)=\frac{\|\rho^{T_B}\|_1-1}{2} quantifies this). For 2×22\times2 and 2×32\times3, PPT \Leftrightarrow separable.

Two-qubit concurrence (Wootters): C(ρ)=max(0,λ1λ2λ3λ4)C(\rho)=\max(0,\lambda_1-\lambda_2-\lambda_3-\lambda_4), where {λi}\{\lambda_i\} are the decreasing square roots of eigenvalues of ρρ~\rho\,\tilde\rho with ρ~=(σyσy)ρ(σyσy)\tilde\rho=(\sigma_y\otimes\sigma_y)\rho^\ast(\sigma_y\otimes\sigma_y). Entanglement of formation EF(ρ)=h ⁣(1+1C22)E_F(\rho)=h\!\left(\frac{1+\sqrt{1-C^2}}{2}\right) with hh binary entropy.

Eureka! For two qubits, “how entangled?” has a closed form: the concurrence.

Information Tasks

Teleportation

Consume one Bell pair and two classical bits to transfer an unknown qubit using a Bell measurement and Pauli corrections.

Dense Coding

Send two classical bits by transmitting one qubit given a shared Bell pair, via local Pauli encodings and a Bell measurement at the receiver.

Entanglement Swapping

Bell-measure two halves of independent Bell pairs to entangle the distant, previously uncorrelated ends.

Eureka! Entanglement is a resource convertible into communication tasks: qubits \leftrightarrow cbits when EPR pairs are available.

Pseudo-code Aids

Pseudo-code: Wootters Concurrence (two qubits)

Input: density matrix ρ\rho ρ~(σyσy)ρ(σyσy)\tilde\rho \leftarrow (\sigma_y\otimes\sigma_y)\rho^\ast(\sigma_y\otimes\sigma_y) λeigs of ρρ~\lambda \leftarrow \text{eigs of } \rho\tilde\rho (sorted decreasing as square roots) Cmax(0,λ1λ2λ3λ4)C \leftarrow \max(0,\lambda_1-\lambda_2-\lambda_3-\lambda_4)

Pseudo-code: Negativity

Input: ρAB\rho_{AB} ρTB\rho^{T_B} \leftarrow partial transpose on BB N(ρTB11)/2\mathcal{N} \leftarrow (\|\rho^{T_B}\|_1-1)/2

Pseudo-code: BBPSSW-like One-Round Distillation (concept)

Given: two noisy pairs ρ2\rho^{\otimes 2} Both sides apply CNOT(source\totarget); measure target in ZZ; keep source iff outcomes agree Optionally twirl ρ\rho\to Bell-diagonal before repeating

Pseudo-code: Teleportation (Pauli frame)

Share Φ+AB|\Phi^+\rangle_{AB}; sender holds qubit QQ to send Bell-measure QQ and AA to get bits b1b2b_1b_2; send to BB Receiver applies Xb2Zb1X^{b_2}Z^{b_1} on BB to recover state

Schematics

Teleportation (concept)

Dense Coding (concept)

Hands-on Notebook (Multi-Backend)

Run: L14_QCQI_Ch10_Entanglement_Entropy_and_Information_Tasks

In the first cell set backend to one of: cirq, pennylane, braket, pyquil, or qiskit.

Mini-Lab Ideas

  1. Compute S(ρ)S(\rho), I(A:B)I(A{:}B), S(AB)S(A|B) for Bell, product, and Werner states; verify inequalities numerically.

  2. Implement concurrence and negativity for random two-qubit states; compare EFE_F vs. N\mathcal{N} ordering.

  3. Simulate one round of BBPSSW on Werner states and plot fidelity improvement vs. parameter pp.

  4. Build teleportation and dense coding circuits in your favorite framework and verify success by state tomography / counts.