I’m Vincent Zhao, and last year in my fusion 10 class, I built a 3-4 quibt error-correction circuit, simulated noise effects, and test how different rotation angles affect fidelity. To do this, I used Python 3, Qiskit Aer, NumPy, Matplotlib and VsCode. Through this project, I found that fidelity fluctuated periodically across rotation angles due to noise, results were not fully reproducible because of random seed effects, and that my project demonstrated how software simulation can model real quantum errors.

For my final result, I found that results follow a general trend of 0 to 2𝞹 due to the general nature of the code, as I was testing recovery angles and rotating a qubit before returning it back to the original state. The sudden drops of peaks indicate quantum noise in action, and it shows how important it is to test and optimize in quantum computing.

My full work can be found here