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.
A total Boolean XOR oracle is unitary and involutive
Statement
For every total Boolean function , including noninjective functions, the coherent XOR oracle is unitary and satisfies . Hence .
Facts & Assumptions
Given: The basis action in Coherent XOR function oracle on the finite ordered computational basis. Prove involutivity and unitarity without assuming injective.
Coherent XOR function oracle: for every ordered input and target string.
Big-endian encoding of ordered bit strings: The big-endian index is , and the word occupies the basis slot numbered by that index.
Finite registers and their ordered computational bases: The -qubit register is the ordered tensor product of copies of , with tuples in lexicographic order and the first wire most significant; for it is with basis .
The computational basis is orthonormal: The ordered computational basis of each register is an orthonormal basis for its declared inner product.
Big-endian bit-string indices are bijective: For every , is a bijection from to .
The product basis is orthonormal and tensor dimensions multiply: The lexicographically ordered elementary tensors of the factor bases form an orthonormal basis of the tensor register.
Proof
Apply twice to a basis vector. The first application gives ; the second gives because every bit added modulo two twice is zero. The input is preserved throughout, so injectivity of is not needed.
By [F2]–[F6], the input and target strings label the entire finite orthonormal product basis in the declared order. Step 1.1 shows that the oracle map is a permutation of this basis, so its matrix has orthonormal columns and satisfies . Therefore it is unitary, and Step 1.1 gives its inverse as itself.
Depends on
- Coherent XOR function oracle
- Finite registers and their ordered computational bases
- Big-endian encoding of ordered bit strings
- Big-endian bit-string indices are bijective
- Ordered tensor registers, their inner product, and wire permutations
- Tensor products of finitely many linear maps
- The computational basis is orthonormal
- The product basis is orthonormal and tensor dimensions multiply
Used by
- Reversible modular multiplication by a unit Algorithm
- Simon promise decision by sampled rank Algorithm
- Promise query instance and oracle family Definition
- Quantum query algorithm Definition
- Simon injectivity decision promise with XOR-oracle access Definition
- Standard bit-flip query convention Definition
- Bounded-error parity query lower bound Theorem
- Correctness of the reversible modular multiplier Theorem
- Oracle phase queries and compiled gate costs are distinct Theorem
- Phase kickback from an XOR oracle Theorem
- Promise-preserving reduction composes with a query solver Theorem
- Sparse Hamiltonian no-fast-forwarding Theorem
Cited to discharge well-definedness by Coherent XOR function oracle.
Dependency tree · two levels
26 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John Preskill, Quantum Computation, Chapter 5: Classical and Quantum Circuits (updated July 2015) (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, arXiv:1907.09415v6 (standard reference, not scraped)