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arXiv · 1210.1338

No-go theorem and optimization of dynamical decoupling against noise with soft cutoff

Zhen-Yu Wang·Ren-Bao Liu
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Abstract

We study the performance of dynamical decoupling in suppressing decoherence caused by soft-cutoff Gaussian noise, using short-time expansion of the noise correlations and numerical optimization. For the noise with soft cutoff at high frequencies, there exists no dynamical decoupling scheme to eliminate the decoherence to arbitrary orders of the short time, regardless of the timing or pulse shaping of the control under the population conserving condition. We formulate the equations for optimizing pulse sequences that minimizes decoherence up to the highest possible order of the short time for the noise correlations with odd power terms in the short-time expansion. In particular, we show that the Carr-Purcell-Meiboom-Gill sequence is optimal in short-time limit for the noise correlations with a linear order term in the time expansion.

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Zhen-Yu Wang, Ren-Bao Liu. 2013-01-31. No-go theorem and optimization of dynamical decoupling against noise with soft cutoff. https://doi.org/10.1103/physreva.87.042319

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