Quantum sensing exploits the sensitivity of quantum systems to the environment for high precision measurements. However, unwanted environmental noise can also corrupt the sensitive system easily. For quantum sensors to work over a practical timescale, quantum error correction, the process of preserving the state of the quantum system over time, is indispensable. This project is focused on measuring and optimizing the robustness of quantum error correcting codes (QECCs) under various sources of uncertainty by applying the framework of robust optimization. Starting from investigating the simplest system and noise model, we will incrementally incorporate more relevant features from quantum sensing and its implementation into the model.

I am participating in SuperUROP because I hope to apply skills I learned from previous classes to gain insights into a problem that is both useful and interesting. The implementation of quantum sensing presents a broad range of physics and engineering challenges. I am excited to learn more about the quantum phenomena involved and to apply computational methods to study important properties of the quantum error-correcting systems.