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Trapped Ion Quantum Computing Quantum Machine Learning

Multipartite entanglement generation in coupled microcavity arrays

arXiv
Authors: Marc Bostelmann, Steffen Wilksen, Frederik Lohof, Christopher Gies

Year

2022

Paper ID

6526

Status

Preprint

Abstract Read

~2 min

Abstract Words

112

Citations

N/A

Abstract

We consider photonic arrays made from quantum emitters in optically coupled microcavities as a platform for entanglement generation. These offer a large degree of tunability with the possibility of site-selective optical excitation. Coherent pumping is considered to drive transitions between vacuum and entangled target states both in a time-dependent manner, and in a quantum bath engineering approach to create entanglement in the steady-state. We demonstrate a numerical scheme that allows to generalize the determination of excitation parameters to larger array sizes and different classes of entangled states. This study is a step towards using coupled cavity arrays as a hardware platform in novel quantum-photonic applications in quantum computing and quantum machine learning.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2022 reference point for readers tracking recent quantum research.
  • We consider photonic arrays made from quantum emitters in optically coupled microcavities as a platform for entanglement generation.

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