A promising result.
A precise statement of what it means.

What was tested

PQS implemented feedback through digital-to-analog conversion, physical cables, and analog-to-digital recording. A deliberately moving optimum was imposed in the experiment. The controller used completed measurements to adjust subsequent signals, without advance access to that programmed optimum.

The system included a numerical actuator before the physical output and a software-defined combiner and detector stage. It was an electrical experiment with simulated elements, not an optical interferometer.

After a documented tuning change following an unsuccessful earlier configuration, the active controller achieved a lower median test objective than a fixed setting and also outperformed a sham control condition. The active setting remained within ten degrees of the optimum reconstructed afterward for 64 of the 71 evaluated one-second intervals.

How the headline is calculated

The saved measurement table gives an active median objective of approximately 5.230 × 10⁻⁸ and a fixed-setting median of 1.221 × 10⁻⁷, in the experiment’s objective units. The ratio is about 0.428.

The arithmetic was independently reproduced from the saved table for the September 2026 review. This reproduction checks the reported calculation; it is not an independent laboratory replication of the experiment.

The limits that matter

• One programmed disturbance pattern was used for the compared conditions.
• Active, fixed, and sham conditions were run in separate passes in a fixed order.
• Each condition had 71 evaluated one-second intervals. Those intervals are not 71 independent experiments.
• The reported result followed a tuning change; it is not a blinded, confirmatory application benchmark.
• Optical sensitivity, dimensional accuracy, long-term reliability, and customer productivity gains have not been demonstrated by this result.

What comes next

The next step is a stronger repeated electrical comparison, with predefined analysis, robust controls, and a test plan that addresses the limitations above. Optical validation would then use an independently calibrated measurement to determine whether a lower internal objective preserves the desired signal and improves the measurement itself.

A successful application test must establish the benefit, its uncertainty, operating range, and integration cost. It should also identify where the added control offers little or no value.