Chai Wah Wu
Linear Algebra and Its Applications
We present a method for mitigating measurement errors on quantum computing platforms that does not form the full assignment matrix, or its inverse, and works in a subspace defined by the noisy input bit strings. This method accommodates both uncorrelated and correlated errors and allows for the computation of accurate error bounds. Additionally, we detail a matrix-free preconditioned iterative-solution method that converges in O(1) steps that is performant and uses orders of magnitude less memory than direct factorization. We demonstrate the validity of our method and mitigate errors in a few seconds on numbers of qubits that would otherwise be impractical.
Chai Wah Wu
Linear Algebra and Its Applications
David L. Shealy, John A. Hoffnagle
SPIE Optical Engineering + Applications 2007
L Auslander, E Feig, et al.
Advances in Applied Mathematics
Fausto Bernardini, Holly Rushmeier
Proceedings of SPIE - The International Society for Optical Engineering