Scalable Mitigation of Measurement Errors on Quantum Computers

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 subspace defined by noisy input bit strings. This accommodates both uncorrelated correlated allows computation of accurate error bounds. Additionally, we detail matrix-free preconditioned iterative-solution converges O(1) steps is performant uses orders magnitude less memory than direct factorization. demonstrate validity our mitigate few seconds numbers qubits would otherwise be impractical.1 MoreReceived 6 September 2021Accepted 8 October 2021DOI:https://doi.org/10.1103/PRXQuantum.2.040326Published American Physical Society under terms Creative Commons Attribution 4.0 International license. Further distribution this work must maintain attribution to author(s) published article's title, journal citation, DOI.Published SocietyPhysics Subject Headings (PhySH)Research AreasQuantum computationTechniquesNumerical techniquesQuantum Information