Sumit Sijher | Applied Math, University of Waterloo
Measurement Benchmarking for Quantum Error Correction and Fault Tolerance
In practice, quantum computers and general quantum information processing tasks are prone to errors and faults in their performance. Traditional randomized benchmarking protocols offer a means of diagnosing such errors in certain quantum operations referred to as quantum gates, and are efficient in their resource requirements and robust to certain sensitivities that may prevent a proper diagnosis. In addition to quantum gates, quantum measurements are another important and essential computational operation that are necessary for successful quantum information processing. Randomized Measurement Benchmarking seeks to leverage similar techniques applied to traditional randomized benchmarking protocols in order to provide faithful error characterization and diagnosis for quantum measurements in a manner that is also efficient and robust in its implementation.