Quantum multicast is a significant transmission mode in a multiparty communication scenario. Multisource collaboration can further enhance the efficient multicast. However, it remains a challenge to realize quantum multicast with a cooperative way in a complex topology network. In this article, we propose a scheme of quantum cooperative multicast in a hybrid topology network. It provides information aggregation and simultaneous multipoint transmission services. First, collaborative information aggregation allows central network data to be integrated into the aggregation node. By exploiting the quantum multicast mode, the aggregation node can simultaneously deliver integrated quantum states to multiple targets. Second, our scheme is feasible for dynamic network expansion. It is capable of extending the network architecture iteratively, while the peer network requests can be handled in parallel. Finally, the new scheme shows great application potential in the distributed quantum network. It is a promising candidate for the implementation of quantum data disaster backup in future.
Quantum multicast is a significant transmission mode in a multiparty communication scenario. Multisource collaboration can further enhance the efficient multicast. However, it remains a challenge to realize quantum multicast with a cooperative way in a complex topology network. In this article, we propose a scheme of quantum cooperative multicast in a hybrid topology network. It provides information aggregation and simultaneous multipoint transmission services. First, collaborative information aggregation allows central network data to be integrated into the aggregation node. By exploiting the quantum multicast mode, the aggregation node can simultaneously deliver integrated quantum states to multiple targets. Second, our scheme is feasible for dynamic network expansion. It is capable of extending the network architecture iteratively, while the peer network requests can be handled in parallel. Finally, the new scheme shows great application potential in the distributed quantum network. It is a promising candidate for the implementation of quantum data disaster backup in future.
As an important application of the quantum network communication, quantum multiparty conference has made multiparty secret communication possible. Previous quantum multiparty conference schemes based on quantum data encryption are insensitive to network topology. However, the topology of the quantum network significantly affects the communication efficiency, e.g., parallel transmission in a channel with limited bandwidth. We have proposed two distinctive protocols, which work in two basic network topologies with efficiency higher than the existing ones. We first present a protocol which works in the reticulate network using Greeberger—Horne—Zeilinger states and entanglement swapping. Another protocol, based on quantum multicasting with quantum data compression, which can improve the efficiency of the network, works in the star-like network. The security of our protocols is guaranteed by quantum key distribution and one-time-pad encryption. In general, the two protocols can be applied to any quantum network where the topology can be equivalently transformed to one of the two structures we propose in our protocols.
A multicast scheme based on fidelity metrics in quantum networks is proposed in this paper. First of all, according to the fidelity of copies in an asymmetric mechanism of 1→ 1+ 1+ 1+1 which is derived, the way of information transmission in the quantum networks is defined: one is one-to-one transmission based on the teleportation and the other is one-to-many lossy transmission based on quantum cloning mechanism. Second, in a specified quantum network which is a connected graph, a source node can randomly assign multicast group members. Then, with constraints of the number of replicas and the maximum number of hops of the shortest path, an optimal multicast tree is constructed to obtain maximum fidelity. Finally, the simulation results show that the proposed scheme can select the optimal path from the source node to the multicast members for the specified quantum network. With the increase of multicast group members, the average value of information fidelity obtained by all members decreases. Compared with the multicast tree constructed by the KMB algorithm, which is used to construct the Steiner tree in classical communication, the proposed schemes make the information fidelity obtained by multicast group members improve significantly.
Abstract We propose a scheme where one can exploit auxiliary resources to achieve quantum multicast communication with network coding over the butterfly network. In this paper, we propose the quantum 2-pair multicast communication scheme, and extend it to k-pair multicast communication over the extended butterfly network. Firstly, an EPR pair is shared between each adjacent node on the butterfly network, and make use of local operation and classical communication to generate entangled relationship between non-adjacent nodes. Secondly, each sender adds auxiliary particles according to the multicast number k, in which the CNOT operations are applied to form the multi-particle entangled state. Finally, combined with network coding and free classical communication, quantum multicast communication based on quantum measurements is completed over the extended butterfly network. Not only the bottleneck problem is solved, but also quantum multicast communication can be completed in our scheme. At the same time, regardless of multicast number k, the maximum capacity of classical channel is 2 bits, and quantum channel is used only once.
Quantum entanglement offers a revolutionary approach to quantum information processing, potentially surpassing the limitations of classical communication. This paper explores the design of a novel quantum entanglement network utilizing adaptive topology to optimize quantum state transmission and manipulation. We propose a dynamic architecture based on entangled pairs, where the network topology adjusts to maintain entanglement fidelity and robustness. The core mechanism centers around exploiting the inherent properties of quantum entanglement to automatically reconfigure the network's structure, enhancing data transfer efficiency and security. This work introduces a framework for creating robust quantum networks capable of dynamically adapting to complex environments, promising significant advancements in quantum information technologies.
In the study of quantum information transmission based on entanglement, the decoherence induced by surrounding environment has always been one of major factors affecting the effect of quantum state transfer. Therefore, the research on information transmission in partially entangled channels of quantum network is of academic value and general application. Meanwhile, as multi-participating information transmission modes, broadcast and multicast communications are two important applications in quantum information transmission and quantum computation. In this paper, we propose the quantum broadcast and multicast schemes based on partially entangled states. The schemes allow the different recipients to obtain the arbitrary single-qubit states synchronously. We verify the feasibility of the schemes and obtain the success probability of information transmission under the partially entangled channels.
Quantum topology networks (QTN) represent a promising paradigm for quantum information processing and communication, leveraging the unique properties of quantum geometry to enable enhanced data transmission and manipulation. This paper explores the design and implementation of an adaptive quantum topology network, which dynamically adjusts network topology to optimize quantum information flow and significantly enhance quantum communication capabilities. We present a novel approach utilizing a feedback loop to continuously refine the network's structure, improving the robustness and efficiency of quantum data transfer. The core mechanism involves adjusting node positions, edge weights, and even the topology itself, all guided by a dynamic optimization algorithm. The advantages of this approach – dynamic adaptability, improved communication efficiency, and enhanced robustness – are discussed, highlighting its potential impact on the field of quantum computing.