Scalable and Robust Randomized Benchmarking of Quantum Processes
- 6 May 2011
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review Letters
- Vol. 106 (18), 180504
- https://doi.org/10.1103/physrevlett.106.180504
Abstract
In this Letter we propose a fully scalable randomized benchmarking protocol for quantum information processors. We prove that the protocol provides an efficient and reliable estimate of the average error-rate for a set operations (gates) under a very general noise model that allows for both time and gate-dependent errors. In particular we obtain a sequence of fitting models for the observable fidelity decay as a function of a (convergent) perturbative expansion of the gate errors about the mean error. We illustrate the protocol through numerical examples. DOI: http://dx.doi.org/10.1103/PhysRevLett.106.180504 © 2011 American Physical SocietyKeywords
This publication has 20 references indexed in Scilit:
- Exact and approximate unitary 2-designs and their application to fidelity estimationPhysical Review A, 2009
- Scalable protocol for identification of correctable codesPhysical Review A, 2008
- Selective and Efficient Estimation of Parameters for Quantum Process TomographyPhysical Review Letters, 2008
- Randomized benchmarking of quantum gatesPhysical Review A, 2008
- Symmetrized Characterization of Noisy Quantum ProcessesScience, 2007
- Efficient error characterization in quantum information processingPhysical Review A, 2007
- Process Tomography of Ion Trap Quantum GatesPhysical Review Letters, 2006
- Scalable noise estimation with random unitary operatorsJournal of Optics B: Quantum and Semiclassical Optics, 2005
- Realization of quantum process tomography in NMRPhysical Review A, 2001
- Prescription for experimental determination of the dynamics of a quantum black boxJournal of Modern Optics, 1997