Bibliography

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Ian Hincks, Joel J. Wallman, Chris Ferrie, Chris Granade, and David G. Cory. Bayesian inference for randomized benchmarking protocols. 2018. arXiv:arXiv:1802.00401.

2

J. Kelly, R. Barends, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. G. Fowler, I.-C. Hoi, E. Jeffrey, A. Megrant, J. Mutus, C. Neill, P. J. J. O’Malley, C. Quintana, P. Roushan, D. Sank, A. Vainsencher, J. Wenner, T. C. White, A. N. Cleland, and J. M. Martinis. Optimal Quantum Control Using Randomized Benchmarking. Physical Review Letters, 112(24):240504, June 2014. arXiv:1403.0035, doi:10.1103/PhysRevLett.112.240504.

3

Joel J. Wallman and Joseph Emerson. Noise tailoring for scalable quantum computation via randomized compiling. Phys. Rev. A, 94:052325, 2016. doi:10.1103/PhysRevA.94.052325.

4

Joel J. Wallman and Steven T. Flammia. Randomized benchmarking with confidence. New Journal of Physics, 16(10):103032, October 2014. URL: http://stacks.iop.org/1367-2630/16/i=10/a=103032?key=crossref.f0d3ce1050f8d1f51d7d311740e43a2f, doi:10.1088/1367-2630/16/10/103032.

5

Yuval R Sanders, Joel J Wallman, and Barry C Sanders. Bounding quantum gate error rate based on reported average fidelity. New Journal of Physics, 18(1):012002, 2016. URL: http://stacks.iop.org/1367-2630/18/i=1/a=012002.

6

Robin Harper, Ian Hincks, Chris Ferrie, Steven T. Flammia, and Joel J. Wallman. Statistical analysis of randomized benchmarking. arXiv e-prints, pages arXiv:1901.00535, January 2019. arXiv:1901.00535.