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CLIENT 0.4.3PYTHON 3.8+

Quantum & photonic applications

Where the maintenance contract fits on photonic and parameterized quantum hardware.

The supported quantum and photonic pattern is regulation of a per-channel response profile. Examples include phase and amplitude stabilization, channel flatness, bias control, and response matching under drift.

Controlled tests establish four-to-six-response floors and scale-flat behavior through 16,384 controls inside the stated shot-noise, target, coupling, and drift conditions. Larger photonic-mesh results remain controlled simulations, not physical transfer claims.

Edge-coupled QAOA profiles, extremal targets, scalar variational energies, unresolved monitors, incompatible timing, and non-retainable configurations are outside this evidence.

PYTHON
opt = SWCOptimizer(key, n=len(x0), mode="regulation", target=target)
x = opt.start(x0)
for _ in range(rounds):
    x = opt.step(measure(x), target=target)
opt.end()
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