Towards Device-Independent Quantum Key Distribution with Photonic Devices
Corentin Lanore, Xavier Valcarce, Jean Etesse, Anthony Martin, Jean-Daniel Bancal

TL;DR
This paper evaluates the feasibility of device-independent quantum key distribution using photonic circuits, introducing new computational methods to assess noise resistance and security, paving the way for practical quantum communication.
Contribution
It introduces an efficient SDP hierarchy and finite-statistics analysis for assessing photonic DIQKD feasibility, demonstrating the circuit's robustness against noise.
Findings
Photonic circuit shows sufficient noise resistance for DIQKD implementation.
New SDP-based methods effectively bound von Neumann entropy in this context.
Finite-statistics analysis confirms experimental viability of the proposed setup.
Abstract
Quantum Key Distribution (QKD) protocols enable two distant parties to communicate with information-theoretically proven secrecy. However, these protocols are generally vulnerable to potential mismatches between the physical modeling and the implementation of their quantum operations, thereby opening opportunities for side channel attacks. Device-Independent (DI) QKD addresses this problem by reducing the degree of device modeling to a black-box setting. The stronger security obtained in this way comes at the cost of a reduced noise tolerance, rendering experimental demonstrations more challenging: so far, only one experiment based on trapped ions was able to successfully generate a secret key. Photonic platforms have however long been preferred for QKD thanks to their suitability to optical fiber transmission, high repetition rates, readily available hardware, and potential for circuit…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Optical Network Technologies · Advanced Statistical Modeling Techniques
