Quantum repeater architecture with hierarchically optimized memory buffer times

Abstract

We propose a quantum repeater protocol and architecture that mitigates decoherence of the entangled states by optimizing the quantum memory buffer time. The protocol maximizes the rate of distillable entanglement in the average accessed state at all nesting levels. The achievable rate is higher by orders of magnitude in comparison to a canonical protocol that does not optimize the buffer time. The advantage of the proposed design is observed for all nesting levels of the repeater for technologically feasible memory quality, entanglement generation and swapping success probabilities.

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References in corpus (7)

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Cited by in corpus (22)

• Designing a Quantum Network Protocol
• On the waiting time in quantum repeaters with probabilistic entanglement swapping
• Tools for quantum network design
• Analysis of Multipartite Entanglement Distribution using a Central Quantum-Network Node
• Optimising repeater schemes for the quantum internet
• Efficient computation of the waiting time and fidelity in quantum repeater chains
• Improved analytical bounds on delivery times of long-distance entanglement
• Policies for elementary links in a quantum network
• Optimizing Entanglement Generation and Distribution Using Genetic Algorithms
• Quantum repeaters based on two species trapped ions
• Memory-assisted long-distance phase-matching quantum key distribution
• Entanglement Distribution in Quantum Repeater with Purification and Optimized Buffer Time
• Scalable repeater architectures for multi-party states
• Deep reinforcement learning for key distribution based on quantum repeaters
• On the design and analysis of near-term quantum network protocols using Markov decision processes
• No-Go Theorems for Universal Entanglement Purification
• Analytical Performance Estimations for Quantum Repeater Network Scenarios
• On noise in swap ASAP repeater chains: exact analytics, distributions and tight approximations
• Optimization of Quantum-Repeater Networks using Stochastic Automatic Differentiation
• Diagrammatic technique for simulation of large-scale quantum repeater networks with dissipating quantum memories
• Multipath entanglement purification strategies for quantum networks
• End-to-end entanglement of quantum network paths with multi-parameter states