QUDL: cross-platform calibration for quantum detectors, converting theoretical predictions into absolute counts.

QUDL is a calibration method for quantum detection. Detection theory produces dimensionless predictions; instruments produce counts. QUDL bridges the two through the Mugenzi calibration coefficient (κ_M), a detector- and readout-specific constant determined once, which converts amplitude predictions into absolute counts per gate.

The calibration sits inside the detection model rather than being fitted afterwards, so detector acceptance, efficiency and the readout chain are accounted for from the start.

What it offers

• Absolute counts rather than relative signals, so results are comparable across devices and sites

• Calibration that transfers between operating regimes and detector platforms

• Drift tracked over time rather than assumed constant, so recalibration is scheduled on evidence

• Calibration uncertainty carried through to the prediction, which matters for audit and certification

• One formulation from the single-photon regime through to saturation

QUDL recovers the established limits (Glauber photodetection, Lindblad dynamics, S-matrix scattering) under their standard conditions. It is built on that foundation rather than replacing it.

Where it applies

Quantum computing readout, PET imaging, quantum communications and QKD, metrology and standards, LiDAR and time-of-flight, and faint-light detection in aerospace, astronomy and semiconductor inspection.

Current stage

QUDL is validated in simulation, including against an independent Lindblad (QuTiP) ground truth. It has not yet been validated on hardware or in a clinical setting. That is the next step and the reason for attending.

What we are looking for

Validation partners with detector hardware, OEM and clinical partners (particularly in PET), and R&D collaborators in quantum computing and photonics where readout calibration is a live constraint. Findings are publishable either way.

Physivitis Ltd. Patent pending GB2613829.7.
rene.mugenzi@physivitis.tech