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.
Independent Local Quantum Fault Model
Definition
Let be a finite channel-location schedule as in Finite ordered channel-location schedules, with finite ordered location set . A location is a supplied gate, preparation, measurement, reset, or explicitly scheduled idle channel with declared support . The model does not create idle locations that the schedule did not declare.
Fix . A fault pattern is a subset . Its probability is
where integer powers use the empty-product convention , including at . Thus each location faults with probability , and the event classes generated by the fault/no-fault indicator at each location form an independent family in the sense of Independent families of event classes. Conditional on , each replaces only the ideal operation at by an arbitrary CPTP map supported on ; all other locations apply their ideal channels. A replacement map may depend on the full pattern, but it acts only at its own location. Faults at measurement and reset locations are represented by channels on their declared quantum and classical registers.
This definition is the independent, local fault model: location indicators are independent, and each fault map acts at its own scheduled location.
Facts & Assumptions
Given: A finite location set from a channel-location schedule and a parameter . Verify that the fault-pattern weights define a finite probability space and that the fault/no-fault event classes are independent.
Finite ordered channel-location schedules: A schedule is a finite ordered list of location slots with full-register channels and declared supports.
Independent families of event classes: Independence means that every finite choice of events from distinct event classes has intersection probability equal to the product of its probabilities.
Finite probability spaces, outcome weights, events, and event probabilities: A finite probability space consists of a finite outcome set with nonnegative weights summing to one.
Verification
For every , the displayed weight is nonnegative because . Its total mass is one by induction on : the empty location set has one pattern of weight ; for nonempty , choose and split the sum into patterns omitting and containing . Each part is respectively and times the same normalized sum on , so their sum is one. The powers use the stated empty-product convention, including when or . Thus the weights define a finite probability space by [F3].
Fix distinct locations and prescribed fault/no-fault values . Splitting a pattern into its restriction to these locations and its restriction to the complement, then summing over all complement patterns using step 1.1, gives . This is the product of the single-location atom probabilities. Summing over the finitely many atom choices belonging to any selected event in each indicator class proves the finite-subfamily independence condition [F2].
Depends on
Used by
- Fault Locations, Paths, and Rectangles Definition
- Local-Stochastic Correlated Quantum Noise Definition
- Disjoint Fault-Location Events Are Independent Lemma
- Distance-Three exRec Correctness and Truncated Witness Reduction Lemma
- Recursive Bad-Rectangle Probability Lemma
- Conditional Concatenated Threshold for Proper Codes Theorem
- Conditional Distance-Three Extended-Rectangle Threshold Theorem
Dependency tree · two levels
11 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
- D. Aharonov and M. Ben-Or, Fault-Tolerant Quantum Computation With Constant Error (standard reference, not scraped)
- John Preskill, Toric code recovery, fault-tolerant recovery, fault-tolerant gates (2011 handwritten lecture notes) (standard reference, not scraped)