How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Quantum Communication and Fingerprinting — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Circuit Syntax, Denotational Semantics, and Measurement
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- 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 Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability Spaces and Random Variables
- Finite-Dimensional Complex Inner-Product Spaces and Matrix Interfaces
- Formal Languages, Encodings, and Decision Problems
- 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
- Independence Borel Cantelli and Zero One Laws
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Recurrences and Rational Generating Functions
- 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
- 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 Communication and Fingerprinting
- Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
- Randomized Complexity and Amplification
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Resource Bounds and Machine Invariance
- Reversible Computation, Ancillas, and Coherent Oracles
- 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
- 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 Polynomial Hierarchy and Relativization
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Turing Machines, Configurations, and Computation
- Uniform Circuit Families, Promise Problems, and Complexity
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These companion calculations display the difference between public and private random seeds and compute a length-eight fingerprint overlap and swap-test outcome probability.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Public-coin and private-coin SMP are different models
Statement
For each n≥1, a shared uniformly random pair r₁,r₂∈𝔽₂ⁿ lets Alice send (r₁·x,r₂·x) and Bob send (r₁·y,r₂·y); the referee accepts equality iff both bits match. Equal inputs always match and unequal inputs collide with probability 1/4. The shared seed has 2n bits and is a separately declared public resource; independent private seeds do not give this guarantee.
Facts & Assumptions
Given: Equality inputs , where .
Equality communication problem: Equality requires output when and when .
Finite communication problem and protocol model: Shared randomness is a separately declared resource, and transmitted bits are counted as communication.
Proof
Let public shared seeds be independent uniform vectors in . Alice sends and Bob sends ; the referee outputs equality exactly when both bits match. If , both match surely. If , choose a coordinate with ; flipping pairs seeds bijectively with opposite values of , so each is uniform, and independence gives collision probability . The protocol uses two transmitted bits per sender and a shared seed of bits, which [F2] keeps separate from communication.
If the parties instead use independent private seed pairs, take the equal input . Each sender's two-bit message is uniform on , independently of the other's, so the messages disagree with probability . This violates any bounded-error Equality guarantee such as error at most , showing that the common seed is doing real work.
Finite length-eight fingerprint overlap
Statement
Let four inputs be assigned codewords 00000000, 00001111, 11110000, and 11111111. Distinct codewords have distance at least four. For the first two, the fingerprint overlap is 1/2 and one swap test declares unequal with probability 3/8; equal inputs yield anti probability zero. Each fingerprint uses four qubits.
Facts & Assumptions
Given: Assign respectively to , , , and .
Fingerprint states are normalized and encode agreement as overlap: The fingerprint overlap is the fraction of agreeing code coordinates.
Swap-test measurement and pure-state outcome law: The antisymmetric probability on pure unit states is .
Proof
Direct coordinate comparison gives the six pairwise distances , , , , , and . In particular agree in their first four positions and differ in the last four; [F1] gives .
By [F2], one swap test declares unequal with probability . For any equal codeword pair the overlap is one and the same formula gives probability zero. The index needs qubits and the data bit adds one, so each fingerprint uses four qubits.