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Quantum Channel Capacities and Entanglement Assistance — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Bell States, Teleportation, and Dense Coding
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Channels, Kraus, Choi, and Stinespring Representations
- Circuit Syntax, Denotational Semantics, and Measurement
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Controlled Gates, Phase, and Entanglement
- Convexity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Filters and Ultrafilters
- Finite basis projector energies and variational electronic structure
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability Spaces and Random Variables
- Finite-Alphabet Entropy and Divergence
- Finite-Dimensional Complex Inner-Product Spaces and Matrix Interfaces
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fundamental Trigonometric Identities
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- IID Lossless Source Coding and the AEP
- Improper Integrals
- Independence Borel Cantelli and Zero One Laws
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Knill–Laflamme Recovery and Subsystem Codes
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Combinations of Unitaries and Taylor Simulation
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measurements, POVMs, and Instruments
- Measures and Their Basic Properties
- Metric Spaces
- Modes of Convergence Egorov and Lusin
- Modes of Convergence for Random Variables
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Probability Spaces Random Variables and Expectation
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Quantum Channel Capacities and Entanglement Assistance
- Quantum Communication and Fingerprinting
- Quantum Information Measures
- Quantum Optimization, Semidefinite Programs, and Variational Algorithms
- Quantum Relative Entropy, Data Processing, and Strong Subadditivity
- Quantum Source Compression and Classical Communication over Quantum Channels
- Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Splitting Fields
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Trace Distance, Fidelity, and Information Limits
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Trust region and cubic regularization methods
- Uniform Spaces: the Three Definitions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Laws and Series of Independent Random Variables
2 · Summary
The noiseless qubit endpoint is checked by the dense-coding protocol, while the qudit erasure examples evaluate Q, P, and C_E at endpoints and in both degradation regimes. These computations illustrate the A-page formulas and do not assert single-letter additivity for general channels.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Entanglement-assisted capacity of a noiseless qubit
Example
For the identity channel on a qubit, the entanglement-assisted classical capacity is nats per use, or two classical bits per transmitted qubit. A shared Bell pair and the four-message dense-coding protocol attain the value.
Facts & Assumptions
Given: The noiseless identity channel and prior shared entanglement.
Complementary channels and coherent information: for a purification.
The maximally mixed state maximizes finite quantum entropy: for a qubit, , with equality at .
The Bell vectors: the four Bell vectors form an orthonormal basis of .
Dense-coding correctness and resources: the four Pauli encodings on one half of a shared Bell pair produce the four orthogonal Bell states, which Bob distinguishes with zero error using one transmitted qubit.
Verification
For any qubit input , the identity channel leaves its purification pure. Hence and , so [F2] gives . By [F1] and [F3], .
For a maximally entangled Bell pair, Alice's four Pauli choices produce the four orthogonal Bell states by [F4]–[F5]. Bob's Bell-basis measurement identifies the message without error, so four messages are sent per channel use and the rate is . This attains the capacity computed in step 1.1.
Capacity regimes of the qubit erasure channel
Example
For , the erasure formulas give the following capacities. Entries are shown in bits per channel use; multiply by to obtain nats.
| Regime | |||
|---|---|---|---|
| degradable | |||
| degradable | |||
| degradable and antidegradable; self-complementary | |||
| antidegradable | |||
| antidegradable |
Facts & Assumptions
Given: A qubit erasure channel, so , at the five probabilities in the table.
Complement and degradation maps of the erasure channel: the receiver and complement outputs exchange the data and erasure probabilities; the channel is degradable for and antidegradable for .
Finite-dimensional quantum erasure channel: the two outputs use the same data space with a one-dimensional orthogonal erasure flag.
Information units and logarithm-base convention: capacities in bits are obtained by dividing nats by .
Verification
Substituting into [F1] and dividing by gives bits and bits. At , these pairs are respectively , which are the table entries.
By [F2], the first two probabilities lie in the degradable region, the last two lie in the antidegradable region, and the half-erasure point lies in both. At , [F2] gives , while [F3] gives . The unitary identification and carries one map to the other, proving self-complementarity up to flag relabeling.
Sources
- John Watrous, The Theory of Quantum Information, §6.3.1 and Theorem 8.41
- Bennett, Shor, Smolin, and Thapliyal, Entanglement-assisted capacity of a quantum channel and the reverse Shannon theorem, §II
- John Watrous, The Theory of Quantum Information, §8.3.2
- Mark M. Wilde, From Classical to Quantum Shannon Theory, §24.7.1