Quantum Error Characterization and Benchmarking
Characterizing the performance of a noisy quantum circuit is crucial for developing prototype quantum computers. It aids in refining experimental design and can reveal noise biases that may be exploited for improved quantum error correction strategies. The conventional approach of Quantum Process Tomography is not scalable. As a result, various partial characterizing techniques have been proposed of which the most prominent one is the Randomized Benchmarking(RB) techniques which has been an industry standard due to its scalability and robustness to SPAM errors.
Besides giving a short overview of RB protocols, I would talk about Randomized Compiling which is a widely used error mitigation technique. Finally, I would conclude by talking about my research where I am using a technique called Cycle Error Reconstruction for characterizing the noises present in an Ion-trapped system at Innsbruck.