Core Premise

Before any federal bill reaches the House or Senate floor, an open‑source quantum model must simulate its economic, environmental, and social ripple‑effects. If the simulation destabilizes—think runaway deficits, climate backfire, or extreme wealth divergence—the bill is automatically tabled for revision.

Four Pillars

Q‑Sim Sandbox

Digitally twin America in a Quantum Policy Lab (QPL). Bills upload as parameter tweaks.

Hosted at NIST, $1 B seed
MIT‑licensed code mirrored on blockchain

Fail‑State Thresholds

Red‑lines for debt, warming, inequality. Trip any and the bill auto‑returns to committee.

Set by Congress; changeable only via 2/3 vote + scientific review

Quantum‑Vote Window

Lawmakers receive a public Q‑Report 72 hours before final votes.

Digest auto‑publishes for citizens simultaneously

Commons Computing Credits

Subsidized quantum cloud time for universities & citizen teams to run their own scenarios.

Find edge‑cases; feed reproducible results back to QPL

Implementation Roadmap

Year 1: Fund QPL, port CBO/GAO models to hybrid quantum algorithms.
Year 3 (Pilot): Apply Q‑Sim to all appropriations riders; publish discrepancies.
Year 5 (Mandate): Full requirement—no floor vote without a public Q‑Report.
Year 8: Open API so states and allies can sandbox their legislation, forming a global “Q‑Policy Commons.”

Why It’s Radical — and Necessary

Complexity Outruns Intuition: Qubits model ripple‑effects classical computers miss.
Lobbyist Disruption: The best argument is a transparent stress‑test, not a talking point.
Public Trust Reboot: Citizens rerun the same models, draining conspiracy fuel.

Measuring Success (Year 10 Targets)

Metric	Target
Bills Returned for Redraft	≥ 30 %
Forecast Error vs. Real Outcomes	≤ 10 %
Public Portal Engagement	5 M unique model downloads/yr
Lobbying Spend on Last‑Hour Amendments	‑50 % from baseline