Molecular_Vibration_Resonance_Diagnostic_System

This document presents Version 2.0 of a proposed molecular vibration resonance diagnos-
tic system based on mid-infrared spectroscopy, quantitative photon detection, and statistical
classification of molecular vibrational signatures.
The physical foundation is conventional infrared spectroscopy: molecular vibrational
modes contribute to the complex optical response of a sample, and the imaginary part of
the linear susceptibility contributes to absorption. The proposal does not assume that every
pathological state possesses a unique spectral signature, nor does it assume that a quantum
detector necessarily provides a quantum advantage.
The principal experimental question is divided into two independent hypotheses. The
first concerns diagnostic discrimination: whether a predefined spectral measurement and
classification pipeline can distinguish a prespecified pathological state from a prespecified ref-
erence population under blinded conditions. The second concerns instrumentation: whether
a quantum detector operated in the relevant mid-infrared spectral range provides a measur-
able signal-to-noise advantage over an optimized classical detector under matched optical,
spectral, temporal, and sample conditions.
Version 2.0 replaces the previous schematic signal-to-noise equation with an explicit
photon-counting model that includes detector efficiency, integration time, signal photons,
background photons, dark counts, and electronic noise. It also separates detector sensitivity
from quantum advantage.
The proposed system covers the mid-infrared spectral domain using a source architecture
appropriate to the selected spectral windows rather than assuming that a single quantum
cascade laser covers the entire interval 400 − −4000 cm−1
. Particular attention is given
to water absorption, atmospheric absorption, sample heterogeneity, scattering, preparation
effects, and machine-learning data leakage. No clinical performance is claimed. No experi-
mental result is claimed. All numerical values not explicitly identified as measurements are
design parameters, illustrative values, or predefined experimental targets.