Hardware routed quantum key distribution networks

Singal, Ansh; Iyengar, Sundaraja Sitharam; Kumar, Latesh; Madni, Azad M.

doi:10.1049/qtc2.12039

Cited by 2 publications

(2 citation statements)

References 32 publications

(40 reference statements)

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“…Moreover, ref. 15 has investigated using leading classical signals to make routing decisions in a QKD network, although packet switching is not considered in their approach. In our previous work 3 , we presented a proof-of-concept for QKD in a packet-switched tandem network, and considered a basic model for a two-user scenario where the routers had no optical storage capacity.…”

Section: Introductionmentioning

confidence: 99%

Quantum key distribution in a packet-switched network

Mandil,

DiAdamo,

et al. 2023

npj Quantum Inf

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Packet switching revolutionized the Internet by allowing the efficient use of network resources for data transmission. In a previous work, we introduced packet switching in quantum networks as a path to the Quantum Internet and presented a proof-of-concept for its application to quantum key distribution (QKD). In this paper, we outline a three-step approach for key rate optimization in a packet-switched network. Our simulated results show that practical key rates may be achieved in a sixteen-user network with no optical storage capacity. Under certain network conditions, we may improve the key rate by using an ultra-low-loss fiber delay line to store packets during network delays. We also find that implementing cut-off storage times in a strategy analogous to real-time selection in free-space QKD can significantly enhance performance. Our work demonstrates that packet switching is imminently suitable as a platform for QKD, an important step towards developing large-scale and integrated quantum networks.

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Section: Introductionmentioning

confidence: 99%

Quantum key distribution in a packet-switched network

Mandil,

DiAdamo,

et al. 2023

npj Quantum Inf

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“…Quantum communication can be classified into two areas. The first is data transfer and quantum communication network architecture [20][21][22]. The second is cybersecurity with data encryption with quantum key distribution [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Quantum finite difference solvers for physics simulation

Chagneau¹,

Nathoo²,

Alloul³

et al. 2023

IET Quantum Communication

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Physics systems are becoming increasingly complex and require more and more computing time. Quantum computing, which has shown its efficiency on some problems, such as the factorisation of a number with Shor's algorithm, may be the solution to reduce these computation times. Here, the authors propose two quantum numerical schemes for the simulation of physics phenomena, based on the finite difference method. The aim is to see if quantum versions of standard numerical schemes offer an advantage over their classical counterparts, either in accuracy, stability or computation time. First, the authors will present the different phenomena studied as well as the classical solution methods chosen. The authors will then describe the implementation of the quantum numerical schemes and present some results obtained on the different physics phenomena beforehand and then compare both approaches, classical and quantum.

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Hardware routed quantum key distribution networks

Cited by 2 publications

References 32 publications

Quantum key distribution in a packet-switched network

Quantum key distribution in a packet-switched network

Quantum finite difference solvers for physics simulation

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