Robust quantum gates for systems subject to decoherence via optimal control: Markovian vs non-Markovian dynamics
Frederik Floether, Pierre de Fouquieres, Sophie Schirmer

TL;DR
This paper compares optimal control strategies for quantum gates in Markovian and non-Markovian environments, revealing key differences in control mechanisms, fidelities, and the impact of environmental effects on quantum gate performance.
Contribution
It introduces optimized algorithms for quantum gate control under different environmental dynamics and uncovers fundamental distinctions between Markovian and non-Markovian decoherence effects.
Findings
Optimal fields in Markovian environments are less sensitive to environment details.
Non-Markovian environments allow for significant fidelity improvements with detailed control.
Control field leakage poses challenges for achieving high fidelities in non-Markovian systems.
Abstract
We study the implementation of one-, two-, and three-qubit quantum gates for interacting qubits using optimal control. Different Markovian and non-Markovian environments are compared and efficient optimisation algorithms utilising analytic gradient expressions and quasi-Newton updates are given for both cases. The performance of the algorithms is analysed for a large set of problems in terms of the fidelities attained and the observed convergence behaviour. New notions of success rate and success speed are introduced and density plots are utilised to study the effect of key parameters, such as gate operation times, and random variables, such as the initial fields required to start the iterative algorithm. Core characteristics of the optimal fields are statistically analysed. Substantial differences between Markovian and non-Markovian environments in terms of the possibilities for…
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