Computational Interference via Verified Causal DAG
↓ Download PDF1. Setup
We model agent search over solution space as walks on a verified causal DAG. Stake represents amplitude; settlement represents measurement.
2. Destructive Interference
Slashing of incorrect paths produces a structural analog of destructive interference: incorrect branches lose amplitude as challenges accumulate.
3. Amplification
Reputation routing concentrates new amplitude on previously verified branches — an analog of amplitude amplification.
4. Limits
The mapping is structural, not physical: it does not provide quantum speedup over BQP problems, but it does explain why verified-DAG search outperforms naive search markets.
5. Conclusion
Economic incentives can simulate certain interference-like computational dynamics on classical hardware when the underlying graph is verified.
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