Twister Tuning

Inspiration

LTIMindtree's challenge gave us direction on what to accomplish.

What it does

By setting constraint parameters on our quantum circuit, such as the claims per week, we're able to utilize QUBO gates to compute the base minimum handlers based on skill and severity. We're also able to utilize QAOA gates to include our other constraints, which compute our final optimized minimum handlers by skill level and allocate them to specific severities.

How we built it

Using Qiskit to develop our base circuit, we used the provided systems to convert our code to Nexus.

Challenges we ran into

On our path to completing Twister Tuning, we overcame several roadblocks. Our first roadblock was determining our starting point. We had attempted to use too much data all at once, leading to confusion on the proper foundation to build on. After determining what our starting function was, we needed to convert the function to its associated quantum circuit, which was our next roadblock, as coding the circuit was extremely difficult.

Accomplishments that we're proud of

Our progress in learning more about specific quantum circuit gates such as QUBO & QAOA was an extremely fulfilling accomplishment for us. Along with this, learning to implement our circuits onto an unfamiliar quantum coding interface was enjoyable to learn.

What we learned

We learned more about structuring quantum circuits from scratch along with the importance of QUBO & QAOA. We also learned how to use Nexus for quantum computing.