Quantum key distribution as a quantum machine learning task
Abstract We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circuit implementation of the BB84 protocol. QKD protocols are well understo...
Saved in:
| Main Authors: | Thomas Decker, Marcelin Gallezot, Sven Florian Kerstan, Alessio Paesano, Anke Ginter, Wadim Wormsbecher |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | npj Quantum Information |
| Online Access: | https://doi.org/10.1038/s41534-025-01088-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantum key distribution through quantum machine learning: a research review
by: Krupa Purohit, et al.
Published: (2025-05-01) -
Quantum key distribution using unknown quantum states
by: Da-Wei Guo, et al.
Published: (2025-06-01) -
High-Dimensional Quantum Key Distribution in Quantum Access Networks
by: Osama Elmabrok, et al.
Published: (2024-01-01) -
Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks
by: Diego Alvarez-Estevez
Published: (2025-01-01) -
Quantum State Preparation for Quantum Key Distribution Using PLC Module
by: Dan Wu, et al.
Published: (2023-01-01)