Quantum Error Mitigation for Observable Expectation Values and Shot Counts

Explore quantum error mitigation techniques for improving observable expectation values and shot counts in a 46-minute conference talk presented by Ewout Van den Berg from IBM Research. Delve into the challenges posed by noise in quantum hardware and discover how quantum error mitigation serves as a viable alternative until quantum error correction becomes available. Learn about probabilistic error cancellation for mitigating gate noise, including the use of a sparse Pauli-Lindblad noise model for accurate and scalable noise representation. Understand the process of shaping, learning, and cancelling gate noise. Examine coherent Pauli checks as a method to protect Clifford operations and obtain accurate shot counts. Gain insights into the evaluation of logical-error and post-selection rates using a simplified Markov model, and review the results of practical experiments in this field.