From Randomized Benchmarking to Cycle Error Reconstruction in Quantum Computing

Explore state-of-the-art methods for benchmarking and characterizing errors in quantum computing performance in this 53-minute lecture by Joseph Emerson from IQC, University of Waterloo, and Quantum Benchmark Inc. Gain insights into the range of techniques used to assess quantum computing errors, from simple fidelities of primitive gate operations to biased and correlated error rates in complex circuit structures. Delve into topics such as randomized benchmarking and cycle error reconstruction as part of the "Near-Term Quantum Computers: Fault Tolerance + Benchmarking + Quantum Advantage + Quantum Algorithms" series presented by the Simons Institute.