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Quantum Optimal Control for Mitigating Bit-Flip, Phase-Flip, and Depolarizing Noise in Quantum Systems

Muhammad Faisal Hasnain

Published Jan 1, 2025• 0 citations
Publisher
DOI
10.2139/ssrn.5402158

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In the actual quantum communication process, there will inevitably be noise in the quantum channel. In this chapter, we consider teleportation protocols in noisy environment. There are different types of noises, which are amplitude-damping, bit-flip, phase-flip, phase-damping, depolarizing noise, etc. Throughout this chapter, four types of noises are considered, namely amplitude-damping, bit-flip, phase-flip, phase-damping, under which teleportation without and with control are presented. The analysis of fidelity of the process against the variation of noise parameters are also discussed. Teleportation through noisy environment have been discussed in a good number of papers like [ 43 , 57 , 60 , 63 , 69 , 79 , 92 , 96 , 114 , 178 , 198 , 204 ].
Graph states are entangled states that are useful for several quantum information processing tasks, such as measurement-based quantum computation and quantum metrology. As the size of graph states realized in experiments increases, it becomes more essential to devise efficient methods for estimating the fidelity between the ideal graph state and an experimentally realized actual state. Any efficient fidelity-estimation method, in general, must use multiple experimental settings, i.e., needs to switch between at least two measurements. Recently, it has been shown that a single measurement is sufficient if the noise can be modeled as the phase-flip error. Since the bit-flip error should also occur in several experiments, it is desired to extend this simplest method to noise models that include phase and bit-flip errors. However, it seems to be nontrivial because their result strongly depends on properties of the phase-flip error. In this paper, by analyzing effects of the bit-flip error on stabilizer operators of graph states, we achieve the extension to the depolarizing noise, which is a major noise model including phase and bit-flip errors. We also numerically evaluate our simplest method for noise models interpolating between the phase-flip and depolarizing noises.