Purpose

Formalize precision-aware acceptance tolerances for HIL so results can route from Hardware Engineering → Observatory with no ambiguity.

0. Freeze observables (do not change after first run)

Norms used (fill in):

1. Hardware arithmetic + accumulation model (fill in)

Item Value
Target platform FPGA / ASIC / GPU / QPU-emulator
Arithmetic float64 / float32 / fp16 / bfloat16 / fixed-point Qm.n
Unit roundoff (u) (or quantization step (Delta))
Rounding mode nearest / stochastic / trunc / etc.
FMA yes/no
Accumulator precision same / wider (specify)
Saturation yes/no (fixed-point)

2. Operation-count scale

Describe the per-iteration kernel application path:

Provide an upper bound for the operation scale (N(n)):