| Title | Automatic Generation of Optimal Quantum Key Distribution Protocols |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Krawec, Walter O., Nelson, Michael G., Geiss, Eric P. |
| Conference Name | Proceedings of the Genetic and Evolutionary Computation Conference |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4920-8 |
| Keywords | composability, genetic algorithm, Metrics, pubcrawl, quantum computing security, Quantum Key Distribution, Resiliency, Scalability |
| Abstract | Quantum Key Distribution (QKD) allows two parties to establish a shared secret key secure against an all-powerful adversary. Typically, one designs new QKD protocols and then analyzes their maximal tolerated noise mathematically. If the noise in the quantum channel connecting the two parties is higher than this threshold value, they must abort. In this paper we design and evaluate a new real-coded Genetic Algorithm which takes as input statistics on a particular quantum channel (found using standard channel estimation procedures) and outputs a QKD protocol optimized for the specific given channel. We show how this method can be used to find QKD protocols for channels where standard protocols would fail. |
| URL | http://doi.acm.org/10.1145/3071178.3071182 |
| DOI | 10.1145/3071178.3071182 |
| Citation Key | krawec_automatic_2017 |
Automatic Generation of Optimal Quantum Key Distribution Protocols