Abstract
We introduce physical-layer classifiers enhanced by multipartite entanglement learned through a support-vector machine. The required entangled states are practical and give error probability advantage over classical schemes in presence of loss.
| Original language | English (US) |
|---|---|
| Article number | QTh6A.8 |
| Journal | Optics InfoBase Conference Papers |
| State | Published - 2020 |
| Event | OSA Quantum 2.0 Conference, QUANTUM 2020 - Virtual, Online, United States Duration: Sep 14 2020 → Sep 17 2020 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials