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.
- Quantum entropyone seed block per job
- Derive shard seedsindependent per worker
- SQS + Lambdafan out simulations
- Aggregateprice + 95% interval
- Replaybit-for-bit from the seed
Tools
Python, AWS Lambda, SQS, SSM, Terraform
