Experimentally Realizable Continuous-variable Quantum Neural Networks

Shikha Bangar; George Siopsis; Kübra Yeter-Aydeniz

doi:10.1364/QUANTUM.2022.QTu2A.4

Quantum 2.0 Conference and Exhibition
Technical Digest Series (Optica Publishing Group, 2022),
paper QTu2A.4
•https://doi.org/10.1364/QUANTUM.2022.QTu2A.4

Experimentally Realizable Continuous-variable Quantum Neural Networks

Shikha Bangar, George Siopsis, and Kübra Yeter-Aydeniz

Quantum 2.0 2022

Boston, MA United States
13–16 June 2022
ISBN: 978-1-957171-11-1

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Poster Session I: In-person (QTu2A)

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S. Bangar, G. Siopsis, and K. Yeter-Aydeniz, "Experimentally Realizable Continuous-variable Quantum Neural Networks," in Quantum 2.0 Conference and Exhibition, Technical Digest Series (Optica Publishing Group, 2022), paper QTu2A.4.

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Abstract

We build a continuous variable hybrid quantum-classical neural network using only Gaussian gates. We achieve non-linearity through measurements on ancillary qumodes. Our protocol can be realized experimentally with current photonic technology.

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