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Quantum-Seeded Monte Carlo Pricer

What it does

A serverless, Terraform-managed Monte Carlo service that prices a European call option. Every job is seeded from one block of quantum entropy. It fans out across SQS-driven Lambda workers with independently derived shard seeds, aggregates to a price with a 95% confidence interval, and can replay any job from its stored seed to recompute the identical float64 result.

One pricing job
  1. Quantum entropyone seed block per job
  2. Derive shard seedsindependent per worker
  3. SQS + Lambdafan out simulations
  4. Aggregateprice + 95% interval
  5. Replaybit-for-bit from the seed

Tools

Python, AWS Lambda, SQS, SSM, Terraform