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Trapped Ion Quantum Computing Quantum Machine Learning

General Machine Learning Algorithm for Quantum Teleportation

arXiv
Authors: Allison Brattley, Tomas Opatrny, Kunal K. Das

Year

2025

Paper ID

16760

Status

Preprint

Abstract Read

~2 min

Abstract Words

98

Citations

N/A

Abstract

We present a general algorithm, based on machine learning, which can create optimal unitary operators to implement quantum teleportation in any system with well-defined set of measurements in a relevant entangled basis. We illustrate it with a collective spin model and demonstrate its versatility by applying it to teloportation of single and multiple qubit states, coherent and Dicke states, and for systems with prior distributions and unequal dimensions. All cases display significant regimes of quantum advantage over corresponding classical schemes with no entanglement. The algorithm offers the flexibility to choose a balance between target fidelity and computational cost.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • We present a general algorithm, based on machine learning, which can create optimal unitary operators to implement quantum teleportation in any system with well-defined set of...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2511.18318 [2] arXiv https://arxiv.org/abs/2511.18318 [3] Publisher https://arxiv.org/abs/2511.18318

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