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Trapped Ion Quantum Computing
Towards a quantum decision tree in a laser pumped four-level system
arXiv
Authors: Dawit Hailuf Hailu
Year
2026
Paper ID
63710
Status
Preprint
Abstract Read
~2 min
Abstract Words
212
Citations
N/A
Abstract
In this study, we examine an innovative framework towards implementing quantum decision trees utilizing a laser-driven four-level system. We discuss a diamond-shaped atomic configuration, in which we apply Lie-algebraic formalisms to analyze the dynamics of the system. The system is perturbed by a Stokes pulse, represented as βj(t) for $j=1,2$, which interacts with the atomic states |0rangle, |3rangle and |1rangle, |2rangle. In addition, a pump laser, denoted as αj(t), couples the states |0rangle, |1rangle and |2rangle, |3rangle. By employing pulse profiles that possess identical temporal behavior but differ in amplitude, one can effectively redistribute the population from the initial ground state to the other energy levels. This technique facilitates the mimicry of a quantum decision tree. We highlight that the proposed methodology is scalable to N-level systems, enhancing its adaptability and potential utility in quantum computing and various decision-making applications. We introduce a novel framework for implementing quantum decision trees using a four-level laser-driven atomic system. Employing a diamond-shaped energy configuration, we analyze system dynamics through Lie-algebraic methods. Using pulse profiles with identical temporal structures but varying amplitudes, we achieve controlled population redistribution among energy levels, effectively simulating a quantum decision tree. This methodology is scalable to systems of N levels, offering potential applications in quantum computing and decision-making processes.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- In this study, we examine an innovative framework towards implementing quantum decision trees utilizing a laser-driven four-level system.
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