Project: Estimation and Average Error Scaling in Quantum Metrology

Constructing a systematic theoretical framework to evaluate the performance of quantum estimators.

• Bayesian Approach: Constructing a Bayesian Risk assessment model to minimize Mean Squared Error (MSE).
• Error Scaling: Investigating the impact of quantum resources on error transitions from the Standard Quantum Limit (SQL) to the Heisenberg Limit (HL).
• Analysis: Analyzing worst-case versus average-case errors in quantum measurement protocols to validate effectiveness in practical experiments.