Designing Polaritonic Integrated Circuits for Quantum Processing

Abstract

We propose photonic integrated circuits augmented with a chi(3) nonlinearity -- e.g., a semiconductor exciton-polariton nonlinearity -- to accomplish two fundamental tasks in quantum processing: quantum state tomography and quantum state generation. We demonstrate in simulations that the design of the circuit can be optimized to great effect and showcase the efficacy of the optimized nonlinear circuits for the quantum machine learning tasks of i) fully identifying a family of emblematic quantum states and ii) stabilizing an accurate train of single photons.

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Cite

Text

Van Regemortel et al. "Designing Polaritonic Integrated Circuits for Quantum Processing." NeurIPS 2024 Workshops: MLNCP, 2024.

Markdown

[Van Regemortel et al. "Designing Polaritonic Integrated Circuits for Quantum Processing." NeurIPS 2024 Workshops: MLNCP, 2024.](https://mlanthology.org/neuripsw/2024/regemortel2024neuripsw-designing/)

BibTeX

@inproceedings{regemortel2024neuripsw-designing,
  title     = {{Designing Polaritonic Integrated Circuits for Quantum Processing}},
  author    = {Van Regemortel, Mathias and Peelaers, Wolfger and Van Vaerenbergh, Thomas},
  booktitle = {NeurIPS 2024 Workshops: MLNCP},
  year      = {2024},
  url       = {https://mlanthology.org/neuripsw/2024/regemortel2024neuripsw-designing/}
}