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Pair-product correction detects quadratic spin errors
Statement
Fix , with spin block and Cartesian generators in the finite-spin convention. Let be a finite set of spin labels containing with for every . On the orthogonal direct sum , let and be the input-block inclusion and coordinate projection. Let be the complete selected order-one absorption–emission tensor error span. Let be the complex span of and all products of at most two Cartesian generators.
Let be an isometry and put . Suppose for every . Then is scalar for every . In particular the code detects every component of every rank-zero, rank-one or rank-two spherical tensor family from to itself. Detection here means scalar compression of a single operator; it is distinct from correcting an arbitrary channel.
Facts & Assumptions
The finite-spin convention fixes the magnetic basis, ladder matrices, Cartesian generators, tensor-family equations and the sum inner product on finite direct sums. Finite spin blocks, spherical tensors and Clebsch–Gordan phases
For the selected blocks, belongs to for . Every within-block tensor component of rank at most two belongs to . Low-rank tensor families are spin polynomials
The selected order-one span contains ; its pair-product correction condition is scalar compression of for every pair of errors in that span. Order-one absorption–emission tensor error span
Proof
Given: The spin blocks, selected set , maps , spans , and pair-product hypothesis in the Statement.
Goal: Prove scalar compression of every quadratic spin polynomial and every within-block tensor component of rank at most two.
In the magnetic basis, is real diagonal and the coefficient of in equals the real coefficient of in . Thus and , including the zero endpoints. The definitions of and give for . The sum inner product gives and . Hence and . Each is an allowed error by [F2].
Applying the assumed pair-product condition to , and is legitimate by [F2] and [F3]. With , the resulting compressions are respectively , and , using and the product identity from step 1.1. All these matrices are scalar.
Every is a finite complex linear combination of , the and the . By step 2.1 and linearity, is therefore scalar. Fact [F2] places every within-block tensor component of rank at most two in this space, proving all the stated detection identities. This argument concerns single-operator compression and makes no assertion of correction for an arbitrary channel.
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