Applied Research on Quantum Computing for Financial Services at Main Incubator
summary
Reframes portfolio allocation as a graph theory optimization and implements hardware-agnostic quantum software that maps those formulations to variational quantum algorithms and classical hybrids. Builds experimental pipelines using simulators and available quantum backends, compares solution quality and wall-clock cost against classical heuristics on small-to-medium asset sets, and reports scalability and noise sensitivity metrics. Emphasizes graph-theory portfolio allocation models and realistic numerical experiments that mirror business constraints.
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chapters (4)
- 0:00Introduction to quantum finance
- 3:31Quantum computing basics
- 10:55Financial applications overview
- 15:14Q&A on quantum research
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