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.
Computational-basis instruments and conditional states on two registers
Statement
Let be nonzero finite-dimensional registers with ordered orthonormal bases and . Define and ; tensor products of these maps use Tensor products of finitely many linear maps. The maps
form finite instruments on . If is a unit vector, then their outcome probabilities are
For a positive-probability outcome, the conditional state is the rank-one density operator on the normalized projected vector. This applies to measuring either register of the Simon state after its coherent XOR query.
Facts & Assumptions
Given: Two nonzero finite registers, their ordered orthonormal bases, and a unit vector on their tensor product. Verify both measurement instruments and their branch laws.
Finite instruments and conditional states: a finite instrument has complex-linear completely positive branch maps and satisfies for every input operator; positive-probability conditional states are .
Completely positive maps: complete positivity requires every finite ancilla amplification of each branch map to preserve nonnegative operators.
Non-negative and positive operators: a nonnegative operator is self-adjoint and has nonnegative quadratic form on every vector.
The computational basis is orthonormal and The product basis is orthonormal and tensor dimensions multiply: the ordered product basis is orthonormal.
For and , and The basis-independent trace of an endomorphism of a finite-dimensional vector space: finite-dimensional trace is basis-independent and obeys the cyclic identity for compatible matrices.
Density operator: a density operator is nonnegative and has trace one.
Dirac Notation Conversion: denotes the rank-one map ; in orthonormal coordinates its matrix is .
Tensor products of finitely many linear maps: a tensor map acts factorwise on elementary tensors and extends linearly; an identity factor leaves its coordinate unchanged.
Proof
Each basis projection and is diagonal with entries or , hence self-adjoint and idempotent; distinct projections in each family are orthogonal and each family sums to the identity. By [F8], their lifted maps and are self-adjoint idempotents, and each lifted family sums to .
The product basis is orthonormal by [F4]. Therefore the coordinates of satisfy . By [F7], has matrix , so for every coordinate vector its quadratic form is and its trace is . Hence is a density operator by [F6].
Each branch map is complex-linear. For any finite reference register , write an operator on in the ancilla blocks of [F2]. Its amplified branch sends each block to , so [F8] identifies the full block matrix as , where is the lifted projector from step 1.1. If is nonnegative, then is self-adjoint and for every by [F3], so every amplification preserves nonnegative operators. Thus each branch is completely positive by [F2].
Write for the coordinate column of and for either lifted projector. By [F7], the corresponding branch is . For outcome , , so the diagonal entry at each coordinate is and every other diagonal entry is zero; off-diagonal entries within the selected -subspace can be nonzero. Its trace is . For outcome , , so the diagonal entry at each coordinate is and every other diagonal entry is zero; off-diagonal entries within the selected -subspace can be nonzero. Its trace is . These traces are the asserted probabilities by [F1].
For every operator , cyclicity of trace and idempotence give The same calculation gives . Together with step 2.1 these are the finite-instrument conditions of [F1].
If a branch vector has positive probability from step 2.2, its conditional operator in [F1] is . Its coordinate quadratic form is nonnegative and its trace is , so it is a density operator by [F6]–[F7]; a zero-probability branch has no conditional state by [F1].
Depends on
- Finite instruments and conditional states
- Completely positive maps
- Density operator
- Dirac Notation Conversion
- Non-negative and positive operators
- The basis-independent trace of an endomorphism of a finite-dimensional vector space
- Trace is a linear functional on $M_n(F)$
- For $A\in M_{m\times n}(F)$ and $B\in M_{n\times m}(F)$, $\operatorname{tr}(AB)=\operatorname{tr}(BA)$
- Finite registers and their ordered computational bases
- 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
Dependency tree · two levels
42 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 Watrous, The Theory of Quantum Information, Section 2.3.2 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, Chapter 3, Section 3.2 (standard reference, not scraped)