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Syndrome measurements made in quantum error correction contain more information than is typically used.
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H. J. Briegel and G. De las Cuevas, Projective simulation for artificial intelligence
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The probability p ( τ ) p(\tau) can be simply obtained by assuming that a qubit has probability 2 γ d t 2\gamma\,dt to bit-flip in the time interval d t dt ; thus p p satisfies the differential equation d p / d t = 2 γ ( 1 − 2 p ) dp/dt=2\gamma(1-2p) , whose solution for a time interval τ \tau is Eq. ( 4
Cited in the paper.
E. M. Kessler, I. Lovchinsky, A. O. Sushkov, and M. D. Lukin, Quantum error correction for metrology
2014
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2014
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S. Kimmel, M. P. da Silva, C. A. Ryan, B. R. Johnson, and T. Ohki, Robust extraction of tomographic information via randomized benchmarking
2014
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