Quantum Random Access Codes Implementation for Resource Allocation and Coexistence with Classical Telecommunication

Domenico Ribezzo,Roberto Salazar,Jakub Czartowski, Flora Segur, Gianmarco Lemmi, Antoine Petitjean, Noel Farrugia,Davide Bacco,Andre Xuereb,Alessandro Zavatta

ADVANCED QUANTUM TECHNOLOGIES(2024)

引用 0|浏览3
暂无评分
摘要
In a world where Quantum Networks are rapidly becoming a reality, the development of the Quantum Internet is gaining increasing interest. Nevertheless, modern quantum networks are still in the early stages of development and have limited capacity to distribute resources among different users - a constraint that needs to be taken into account. In this work, it aims to investigate these constraints, using a novel setup for implementing Quantum Random Access Codes (QRACs), communication protocols known for their quantum advantage over their classical counterparts and semi- device-independent self-testing applications. The QRAC states, made for the first time using weak coherent pulses instead of entangled single photons, allow us to experimentally test the encoding and decoding strategy from the resource allocation perspective. Moreover, by emulating a coexistent classical communication, it test the resilience of the implementation in presence of noise. The achieved results represent a significant milestone both for theoretical studies of quantum resource allocation and for the implementation of quantum infrastructures capable of coexisting with regular telecommunication networks. For the first time, a setup capable of performing Quantum Random Access Code, a communication protocol known for showing quantum advantage, is implemented utilizing weak coherent pulses instead of real single photons. The results for 2 and 4D quantum states demonstrate an optimal allocation of quantum resources, a question of utmost importance in quantum networks and quantum internet.image
更多
查看译文
关键词
high-dimensional qubit,quantum internet,quantum random access code,quantum resources,resource allocation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要