Determiq
contact@determiq.com
Determiq R&D Lab

Compact, physics-aligned modeling tools.

We build small, sharp prototypes that sit between full-fat simulation and real-world hardware: accelerating tolerance / yield analysis, exploring chi/u-style environment twins, and testing whether new frameworks (like our s–d lens) actually buy a measurable reduction in heavy compute.

At the moment we are focused on maintaining prior R&D probes and evaluating where the next meaningful 10× improvement opportunity lies.

R&D Probes

R&D PROBE · COMPLETED

C³-Photonics

Arrived here from c3photonics.com? C³-Photonics is an internal Determiq R&D probe, not an active product.

A small “coupler yield & tolerance assistant” prototype. The goal was to see whether a chi/u-style environment parameterization could compress the simulation workload for edge / adiabatic couplers compared to brute-force geometry + Monte Carlo.

What we actually built:

  • A Meep-backed taper runner (2D FDTD, TE, edge-coupler family) on local machines and AWS.
  • A surrogate model fitted to Meep IL data on a 4×4 grid of geometries and environment points.
  • A chi/u-style toy benchmark comparing baseline geometry + Monte Carlo sampling against an environment-axis–compressed flow.

On this Meep-calibrated taper family (using a 4×4 grid as the “physics oracle”), the chi/u-style flow matched the baseline “best” geometry and toy yield estimate for an IL ≤ 1 dB spec while using 62.5× fewer effective heavy EM solves (8000 → 128). On the same dataset, Meep runtimes have a median of 376.8 s per run (≈ 6.3 minutes), while the calibrated surrogate evaluates in ~6 µs per call (10,000 calls in ≈ 0.062 s), so a single median Meep run corresponds to ≈ 60 million surrogate queries. In wall-clock terms, the naive Monte Carlo-style tolerance/yield study is “weeks of EM,” whereas the chi/u pipeline looks more like “hours of EM + milliseconds of surrogate scans.” This remains a toy but concrete, reproducible benchmark, not a claim against commercial state-of-the-art tools.

STATUS

C³-Photonics is kept as an internal R&D probe rather than a packaged product. The Meep-backed benchmark and surrogate pipeline are in a stable enough state to reproduce the current toy results on demand. We’re open to conversations and joint validation on real coupler or tolerance / yield workflows, especially where chi/u-style environment compression might offer a clear advantage over off-the-shelf methods.

Example CLI mockup used during design — not a released tool.

$ # example prototype CLI (demo)
$ c3 --calibrate ./data/demo_coupler.csv
[demo] Loading dataset... 150 points found.
[demo] Fitting Gaussian-Lorentzian hybrid...
[demo] Done. Example fit R² ≈ 0.998

$ c3 --guardband --target_il -1.5dB
[demo] Calculating misalignment tolerance...
Ax: ±1.2 µm (demo)
Ay: ±0.8 µm (demo)
Yield est: ~94% (demo)
Misalignment (µm) IL (dB)

Example Outputs (from the C³-Photonics probe)

Δx/Δy misalignment IL heatmap for a SiN edge coupler
Δx/Δy misalignment IL heatmap for a SiN edge coupler (simulated). A calibrated IL capsule used to explore how misalignment translates into yield under simple process assumptions.
Yield versus IL spec curve for a SiN edge coupler
Yield vs. IL spec curve for the same coupler. Internal visualization of how an IL spec maps to an estimated yield, given the surrogate and assumed variations.