A most-likely noise path control strategy for qubit state preparation under dephasing achieves higher success rates than mean-path methods while the latter maximize average fidelity.
Chopped random-basis quantum optimization
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abstract
In this work we describe in detail the "Chopped RAndom Basis" (CRAB) optimal control technique recently introduced to optimize t-DMRG simulations [arXiv:1003.3750]. Here we study the efficiency of this control technique in optimizing different quantum processes and we show that in the considered cases we obtain results equivalent to those obtained via different optimal control methods while using less resources. We propose the CRAB optimization as a general and versatile optimal control technique.
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quant-ph 1years
2022 1verdicts
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Quantum state-preparation control in noisy environment via most-likely paths
A most-likely noise path control strategy for qubit state preparation under dephasing achieves higher success rates than mean-path methods while the latter maximize average fidelity.