Qubit teleportation between non-neighboring nodes in a quantum network

Hermans, S. L. N.; Pompili, M.; Beukers, H. K. C.; Baier, S.; Borregaard, J.; Hanson, R.

doi:10.48550/arxiv.2110.11373

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…The architecture of a quantum network is designed to enable the transmission of quantum information between multiple nodes or users. There are several key components of quantum network architecture [2], including are (Figure 2):…”

Section: Quantum Network Architecturementioning

confidence: 99%

Quantum Networks: Emerging Research Areas, Challenges, and Opportunities

Belghachi¹

2023

Preprint

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Quantum networks are a rapidly evolving technology that utilizes the principles of quantum mechanics to facilitate secure communication, distributed quantum computing, and highly sensitive sensor networks. Quantum networks are constructed using diverse components, such as quantum information sources, quantum memories, quantum repeaters, and quantum detectors. These networks leverage the distinctive features of quantum mechanics, such as superposition and entanglement, to attain superior performance benefits. Despite the numerous challenges that impede the development of quantum networks, such as the requirement for more efficient and dependable components, considerable advancements have been achieved in recent years through the utilization of simulations and experimental platforms. With the growing need for enhanced security and faster computing, the potential for quantum networks appears promising in the future. The potential of these innovations to revolutionize various fields and facilitate novel breakthroughs and discoveries is noteworthy. In this paper, we review the current state of the art in quantum networks, including key concepts and technologies such as quantum key distribution, quantum repeaters, and quantum routing. We also discuss some of the key challenges in quantum networks, including scalability, noise, and interoperability, and highlight some of the key research directions in this field. Finally, we discuss some of the potential applications of quantum networks, including secure communication, quantum computing, and quantum sensing. This paper provides a comprehensive overview of the current status and future directions of quantum networks and will be of interest to researchers, engineers, and policymakers working in this field.

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Section: Quantum Network Architecturementioning

confidence: 99%

Quantum Networks: Emerging Research Areas, Challenges, and Opportunities

Belghachi¹

2023

Preprint

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“…Entanglement generation rates r ent larger than the idle qubit decoherence rate have been shown, enabling a single cycle of entanglement delivery deterministically on a clock cycle [13]. As a first step towards exploiting additional computational power in the nodes, experiments with up to two qubits per node demonstrated two-cycle network protocols such as entanglement distillation [29] and entanglement-swapping in a three-node network [30,31]. However, in all these experiments η * link < 1.…”

Section: Introductionmentioning

confidence: 99%

Robust quantum-network memory based on spin qubits in isotopically engineered diamond

Bradley¹,

Bone²,

Moller³

et al. 2021

Preprint

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Quantum networks can enable long-range quantum communication and modular quantum computation. A powerful approach is to use multi-qubit network nodes which provide the quantum memory and computational power to perform entanglement distillation, quantum error correction, and information processing. Nuclear spins associated with optically-active defects in diamond are promising qubits for this role. However, their dephasing during entanglement distribution across the optical network hinders scaling to larger systems. In this work, we show that a single 13 C spin in isotopically engineered diamond offers a long-lived quantum memory that is robust to the optical link operation of an NV centre. The memory lifetime is improved by two orders-of-magnitude upon the state-of-the-art, and exceeds the best reported times for remote entanglement generation. We identify ionisation of the NV centre as a newly limiting decoherence mechanism. As a first step towards overcoming this limitation, we demonstrate that the nuclear spin state can be retrieved with high fidelity after a complete cycle of ionisation and recapture. Finally, we use numerical simulations to show that the combination of this improved memory lifetime with previously demonstrated entanglement links and gate operations can enable key primitives for quantum networks, such as deterministic non-local two-qubit logic operations and GHZ state creation across four network nodes. Our results pave the way for test-bed quantum networks capable of investigating complex algorithms and error correction.

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Qubit teleportation between non-neighboring nodes in a quantum network

Cited by 2 publications

References 29 publications

Quantum Networks: Emerging Research Areas, Challenges, and Opportunities

Quantum Networks: Emerging Research Areas, Challenges, and Opportunities

Robust quantum-network memory based on spin qubits in isotopically engineered diamond

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