How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Uniform Circuit Families, Promise Problems, and Complexity — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Circuit Syntax, Denotational Semantics, and Measurement
- Clifford+T Exact and Approximate Synthesis
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Continuous-Gate Universality and Exact Synthesis
- Controlled Gates, Phase, and Entanglement
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- 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
- 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
- Measurements, POVMs, and Instruments
- 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
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Strongly Continuous Semigroups and Hille Yosida
- Suprema and Infima
- 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 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
- Topology of ℝ
- Turing Machines, Configurations, and Computation
- Uniform Circuit Families, Promise Problems, and Complexity
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The worked promise pair makes the off-domain convention concrete: a circuit family must satisfy the two acceptance bounds on the declared YES and NO sets, while inputs outside their union carry no acceptance requirement.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A BQP promise pair with unrestricted off-promise inputs
Example
Let and as subsets of . They are disjoint, and every other binary word is off the promise. For each , let be the gate-free identity circuit with the first input wire as its one-bit output. For , let have one zero-initialized auxiliary wire as output. Use one total predicate that accepts exactly when is the one-bit word and the measured output is .
Facts & Assumptions
Given: The promise pair and the BQP thresholds in BQP for promise problems in the fixed QC14 model.
BQP for promise problems in the fixed QC14 model: only YES inputs require acceptance at least and NO inputs require acceptance at most ; off-promise inputs have no constraint.
Promise problem: a promise problem is a pair of disjoint subsets of , and either answer is allowed outside their union.
Full-list uniform quantum circuit family: a family description records input and total wire counts, a finite gate list, and an ordered output tuple; the full-list generator receives unary input .
Verification
The pair is a promise problem because and are disjoint singletons of distinct one-bit words, as required by [F2]. For , use input count , total wire count , gate count zero, and output tuple . For , use input count zero, total wire count one, gate count zero, and output tuple , whose wire is initialized to zero. These are valid descriptions under [F3]. One fixed one-tape generator writes the two unary counts by repeated sweeps over the input marks and then appends the constant gate-count and output fields; at most transitions suffice. The total predicate is exactly when is the one-bit word and , and otherwise, so it is deterministic and polynomial time.
On the YES input , the identity circuit leaves the measured output in , so acceptance is . On the NO input , it leaves the measured output in , so acceptance is . Every other string is outside , where [F1] imposes no condition. Hence this promise problem is in BQP in the stated model.