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.
Controlled Global Phase Changes an X-Outcome
Example
Take the target qubit unitary , control input , and target input . Separately grant controlled access to and . For the finite control effects , where , the plus outcome has probability for and for .
Facts & Assumptions
Given: A control-first two-qubit register, , real , the stated input, separate controlled access to the two specified matrices, and the two control effects in the Example.
A Controlled Global Phase Becomes a Relative Control Phase proves the general eigenvector witness, verifies the finite two-outcome POVM, and computes its plus probability.
Controlled Unitary Access defines the control-first block action and requires each capability to be explicitly granted. Its carrier is present in this batch.
Dirac Notation Conversion defines the Dirac pairing by reversing the root linear-first pairing and defines the corresponding outer product.
A unit-vector outer product is a density operator proves that every unit-vector outer product is a density operator.
Finite POVMs and their outcome law defines the finite POVM outcome weight using the density operator and effect.
Ordered tensor registers, their inner product, and wire permutations defines the control-first tensor order and product inner product. Its current draft proof was read.
The computational basis is orthonormal proves the one-qubit computational basis is orthonormal. Its current draft proof was read.
POVM outcome weights are probabilities proves the finite weights of this POVM form a probability distribution.
, , and : for real , and .
Verification
In the ordered basis , the first controlled block is . It sends the input to . Both factors are unit vectors by [L7], so their product is unit by [L6], and its rank-one projector is a density operator by [L4]. In [L1], specialize , , and ; its verified control POVM then gives plus probability .
The separately granted second block is . It sends the input to , where . By [L3] and [L7], . The phase identity [F1] and orthonormality [L7] give ; then the product pairing [L6] gives . Its projector is a density operator by [L4], so the outcome law [L5] applies and gives , which equals by the derivation in the proof of [L1].
At , the second controlled matrix is and its plus probability is . At , its diagonal is and its plus probability is . The minus probability is the complement by normalization [L8], so these are distinct finite outcome laws under the explicit separate-access assumption.
Depends on
- A Controlled Global Phase Becomes a Relative Control Phase
- Finite POVMs and their outcome law
- POVM outcome weights are probabilities
- A unit-vector outer product is a density operator
- Dirac Notation Conversion
- Controlled Unitary Access
- Ordered tensor registers, their inner product, and wire permutations
- The computational basis is orthonormal
- $\exp(x+iy)=e^x(\cos y+i\sin y)$, $|\exp(x+iy)|=e^x$, and $e^{i\pi}+1=0$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
53 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
- Ronald de Wolf, Quantum Computing: Lecture Notes, arXiv:1907.09415v6 (standard reference, not scraped)
- John Preskill, Quantum Computation, Chapter 6: Quantum Algorithms (standard reference, not scraped)