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.
Choi matrix with input factor first
Definition
Let and be finite-dimensional (have finite bases by Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis) complex inner-product spaces (Real and complex inner-product spaces and their induced length), and fix an ordered orthonormal basis of (the register basis convention is in Finite registers and their ordered computational bases). For , let be the matrix unit, where denotes the complex-linear endomorphisms (Linear map between vector spaces over the same field), , using the root inner product convention that the first argument is linear. Given a complex-linear map (Linear map between vector spaces over the same field), its Choi matrix relative to is
where the operator tensor is the tensor map of Tensor products of finitely many linear maps and the tensor inner product is the finite product pairing in Ordered tensor registers, their inner product, and wire permutations.
The tensor factors are ordered input first and output second. The coordinate matrix has size . The chosen input basis is part of this definition. If the input basis is empty, the displayed sum is empty; if , each summand is zero and is the unique endomorphism of the zero-dimensional tensor product.
Depends on
- Real and complex inner-product spaces and their induced length
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Linear map between vector spaces over the same field
- Finite registers and their ordered computational bases
- Ordered tensor registers, their inner product, and wire permutations
- Tensor products of finitely many linear maps
Used by
- Qubit dephasing channel in Kraus and Choi forms Example
- A positive Choi matrix yields finite Kraus operators Lemma
- Complete positivity implies Choi positivity Lemma
- Finite channel, Kraus, Choi, and Stinespring equivalence Theorem
- Kraus and Choi characterizations of complete positivity Theorem
- The Choi partial trace characterizes trace preservation Theorem
Dependency tree · two levels
31 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 (2018), §2.2.1–2.2.2 (standard reference, not scraped)
- John Preskill, Quantum Computation, Chapter 3, §§3.3.1–3.3.2 (standard reference, not scraped)