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Applications

Computing for the He-3 Quantum Flywheel

Modeling the loop where helium-3 supports quantum and low-temperature technologies whose growth in turn raises demand for helium-3.

What the flywheel describes

Helium-3 is a low-temperature and quantum-technology resource: it is used in dilution refrigerators that reach the millikelvin temperatures many quantum computers need, and in neutron detection and medical imaging. The 'flywheel' is the reinforcing loop in which supplying helium-3 enables more quantum and cryogenic capability, and that expanding capability in turn increases demand for helium-3.

The modeling questions

Kronos motion — in the loop

Why it needs careful modeling

Reinforcing loops are easy to describe and easy to overstate. The strength of the coupling, the lags between supply and demand, and the substitution options all determine whether the flywheel is a strong effect or a weak one. Honest modeling reports the loop's sensitivity to its assumptions rather than asserting an inevitable spiral.

The tritium link

Helium-3 is produced by the decay of tritium (12.3-year half-life). A program that breeds and handles tritium therefore has a structural connection to helium-3 availability. The strategic value here is about supply and capability, not revenue; this page carries no economics by design, and the near-term bankable base is tritium, with helium-3 a longer-horizon role.

python
import math

def he3_from_tritium(t_stock, years):
    lam = math.log(2)/12.3
    decayed = t_stock*(1 - math.exp(-lam*years))
    return decayed   # each decayed tritium yields one He-3

Kronos framing

The Hyperion breeder's tritium handling and the burner's use of D-helium-3 fuel place Kronos inside this loop. Computing keeps the isotope bookkeeping honest and separates demonstrated supply from projected demand.