Quantum Optimization: Mozambican Grain Storage Network Design

30% to 8% Post-Harvest Loss

Mozambique loses 30% of grain to poor storage — $510M annually. Quantum optimization redesigns the storage network across 12 hubs, reducing losses to 8% — saving $136M per year.

The Model

QAOA optimizes hub placement, capacity allocation, and grain routing across 1,200 collection points. The algorithm evaluates 2.43 x 10^18 configurations in 3 seconds.

Investment Model

| Component | Cost (USD) | |-----------|-----------| | QAOA algorithm | $40,000 | | Storage network modeling | $20,000 | | IBM Quantum access | $45,000 | | Deployment | $10,000 | | Total | $115,000 |

Revenue: $680,000/year | IRR: 491% | Payback: 2 months

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Investments involve risk. Accredited investors only.