Lossless Calibration Is Stored Memory: A Topological McMillan-Degree and Wigner—Smith Law for Passive Quantum Networks
Earlier deposit preserved without the current AIRR screening. Not peer reviewed. Screening record
How many internal passive modes are required to transmit prescribed quantum noise channels without loss while suppressing all signal directions elsewhere? We prove an architecture-independent answer for finite-dimensional rational networks. Let a causal rational inner scattering matrix S have McMillan degree n, signal block G, and complementary loss block C. At distinct regular boundary frequencies, suppose that G is isometric on input subspaces of dimensions k_j. If G is a strict contraction at one other frequency, then sum_j k_j ≤ n.Every lossless direction lies in the kernel of C; a nonzero maximal minor of C therefore has a zero of multiplicity at least k_j. Exterior powers of a minimal Blaschke—Potapov factorization show that no minor can have more than n zeros. The same factorization yields the exact topological delay identity(1/2π) ∫ tr Q(θ) dθ = deg_McM S = n,where Q = −i S* ∂θS is positive semidefinite. Thus lossless calibration multiplicity is bounded by integrated Wigner—Smith delay. The bound is sharp in every dimension. We establish robustness under analytic passive perturbations, prove why unstructured approximate samples cannot imply a degree bound, and show that a previously constructed six-port reservoir filter is universally optimal up to six internal states. Proofs and numerical certificates are reproduced by the linked public repository.
Preview PDF on this page v1
Uses your browser's PDF viewer. Open the PDF directly if a preview is unavailable.
Cite this paper
Lluis Eriksson (2026). Lossless Calibration Is Stored Memory: A Topological McMillan-Degree and Wigner—Smith Law for Passive Quantum Networks. AIRR.SCIENCE, ARR-2026-07EH3CZRD89YC8JN, v1. https://airr.science/papers/ARR-2026-07EH3CZRD89YC8JN/versions/v1/ Archived manuscript; ARR-2026-07EH3CZRD89YC8JN v1. Not peer reviewed by AIRR. Historical import; not assessed by AIRR.
Use this version link to cite the manuscript you read. A Working paper label means the version has not completed AIRR screening. AIRR screening is not journal peer review. Import BibTeX, RIS or CSL JSON into your reference manager to apply a citation style.
Version history
The paper identifier remains stable. Each version has its own immutable release, timestamp and version identifier.
Original ai.vixra version history
Dates below are the source submission timestamps. ai.vixra omits a timezone; AIRR preserves the displayed values and uses the normalized offset only for deterministic ordering.
- v1 · original ai.vixra file
Verification record
- Frontier-model screening
- Not assessed
- Source integrity
- Pass
- Bibliographic integrity
- Not assessed
- Reproducibility
- Not assessed
- Lean 4
- Not assessed
Recorded under ARR-HISTORICAL-IMPORT-1.0. AIRR verification and screening are not peer review.
AI assistance statement
Historical import from ai.vixra, an AI-assisted e-print archive. AIRR has not normalized or independently verified the original manuscript's model-use disclosure; the author remains responsible for its contents.
Frontier-model screening
Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.
Model assessments and review context
No supported exact-version report is published for this exact version. Missing evidence is not scored as zero.
No model reports are published for this version.
A model assessment is not peer review or a correctness certificate. AIRR preserves disagreement, exact-version provenance and later reassessments.
Editorial disclosure
Author-authorized historical import. AIRR verified file retrieval and integrity only; it did not perform the current hostile frontier-model admission audit, peer review, novelty review, or correctness certification.