Day 943: Measurement Error Mitigation - Confusion Matrices and M3 Method

Learning Objectives

• •**Characterize measurement errors** - Build confusion matrices from calibration data
• •**Apply matrix inversion** - Correct probability distributions using inverse confusion matrix
• •**Handle ill-conditioning** - Use regularization techniques for noisy matrices
• •**Implement M3 method** - Apply matrix-free measurement mitigation for large systems
• •**Scale to many qubits** - Use tensor product structure for efficient mitigation
• •**Integrate with other techniques** - Combine measurement mitigation with ZNE/PEC

Today's Schedule (7 hours)