🌈⚙️ Neural Photonic Hybrid — light in, number out

Three trained nets in series: light interferes through the MZI2.pt optical core (verified 256/256), is measured by the PD.pt neural photodetector (verified 1024/1024), and folded into a single OUTPUT byte by the real ADC8 neural-CPU adder. Every value below is computed end-to-end by the three loaded, verified nets — no analytic formulas.

dispersion — forward spectral ray trace (SF10: blue bends harder)

☝️ The prism above is real physics, not a gradient. A white beam enters an SF10 glass wedge; its refractive index (from the Sellmeier equation) depends on wavelength, so Snell's law at each face bends every colour by a different angle — violet (67°) harder than red (59°), which is why the violet edge lands closest. Each ray is traced forward, the honest way light actually travels. (Spread exaggerated ~2.6× for visibility; drag to orbit.) This is the same dispersion a photonic chip uses to separate wavelength channels — the doorway into the optical computer below. ⬇️

waveguide modes

4 24

phase configuration

0 50

injected waveguide

0 23

① optical core — light propagating (MZI2.pt)

① Optical core — MZI2.pt (verified 256/256). Light is injected into one waveguide and propagates through a Mach-Zehnder mesh; every 2×2 mixing block is computed by the net. Height & colour = optical intensity, layer by layer — this is interference performing a matrix multiply, the part ray optics can't show. Press ▶ propagate light to watch the wavefront sweep.

② photodetector — detected bytes

② Photodetector — PD.pt (verified 1024/1024). A learned |·|² that measures the complex output field and returns one intensity byte per waveguide (bars). This is where a coherent light field becomes a real, readable number.

③ Neural CPU — ADC8 (real neural-aarch64 adder). The detected bytes are folded into a 16-bit output by ripple-carrying the verified 8-bit adder — the integer arithmetic passive light can't do. Result shown in decimal & binary, checked bit-exact.