Location
MC 5417
Candidate
Debankan Sannamoth | Applied Mathematics, University of Waterloo
Title
Quantum Error Characterization and Benchmarking
Abstract
Characterizing the performance of noisy quantum circuits is crucial for advancing the development of prototype quantum computers. It enables optimization of experimental setups and can reveal structured noise features that may be exploited for more effective quantum error correction. While traditional Quantum Process Tomography lacks scalability, several partial characterization techniques have emerged—among them, Randomized Benchmarking (RB) is the most widely adopted due to its scalability and robustness to state preparation and measurement (SPAM) errors. In this presentation, I will compare various benchmarking protocols used for gate calibration. I will also introduce a diagnostic technique known as Cycle Error Reconstruction (CER), which provides detailed insights into the underlying noise processes. Finally, I will discuss how this detailed noise information can be leveraged to optimize decoders in quantum error correction.