Inspiration
We were inspired by The Hartford's mission statement to reach better optimization.
What it does
We utilize QAOA and Pauli Propagation to achieve efficient portfolio optimization for a simulated quantum computer on consumer hardware. We also expose a mobile app interface to get this data at a glance.
How we built it
Using Qiskit simulators and libraries to analyze our data.
Challenges we ran into
Mathematical rigor and programmatic implementation were our biggest struggle, integrating the two major components of our strategy proved challenging.
Accomplishments that we're proud of
Finishing our implementation with a noticeable trend towards an optimal choice in our portfolio.
What we learned
Working with intimately Hamiltonians, Objective functions with Penalties, and Pauli operators.
What's next for LIB Dependency
More time spent developing our skills in quantum computing.
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