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We review an experimental technique used to correct state preparation and measurement errors on gate-based quantum computers, and discuss its rigorous justification.
Y. Chen, M. Farahzad, S. Yoo, and T.-C. Wei, Phys. Rev. A 100
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X. Wei, K., I. Lauer, S. Srinivasan, N. Sundaresan, D. T. McClure, D. Toyli, D. C. McKay, J. M. Gambetta, and S. Sheldon, arXiv: 1905.05720 (2019)
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S. S. Tannu and M. K. Qureshi, in The 52nd Annual IEEE/ACM International Symposium on Microarchitecture (2019)
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S. Debnath, N. M. Linke, C. Figgatt, K. A. Landsman, K. Wright, and C. Monroe, Nature 536
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R. Blume-Kohout, J. K. Gamble, E. Nielsen, J. Mizrahi, J. D. Sterk, and P. Maunz, “Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit,” arXiv: 1310.4492
Cited in the paper.
E. Nielsen, K. Rudinger, J. K. Gamble, and R. Blume-Kohout, “pyGSTi: A python implementation of gate set tomography,” https://github.com/pyGSTio/pyGSTi
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2019
Later among the works it cites.
Data was taken January 15-18, 2020, on qubits { Q 0 , Q 1 , Q 2 , Q 3 , Q 4 } \{Q_{0},Q_{1},Q_{2},Q_{3},Q_{4}\} of the IBM Q chip ibmq_essex. Each circuit was measured with 32k samples
2020
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