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Updated: Aug 8, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Coherence and fidelity aware routing in quantum networks
Hilal Sultan Duranoglu Tunc1,2, Joy Halder3, Azita Hajizade4,5
1Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Dresden, Germany. hilal_sultan.duranoglu_tunc@tu-dresden.de.
A new quantum network routing algorithm, CAFARA, optimizes resource usage and entanglement quality by considering coherence and fidelity. This approach improves success rates and balances performance metrics for robust quantum communication.
Area of Science:
- Quantum Information Science
- Quantum Networking
- Quantum Communication
Background:
- Existing quantum network routing primarily focuses on fidelity, neglecting the coherence of quantum states.
- Simultaneous optimization of resource usage, entanglement generation, and end-to-end state quality is crucial for quantum networks.
Purpose of the Study:
- To introduce a novel routing and purification strategy for quantum networks that incorporates the relative entropy of coherence (REC) alongside fidelity.
- To develop and evaluate the coherence- and fidelity-aware routing algorithm (CAFARA) for enhanced quantum network performance.
Main Methods:
- CAFARA determines purification levels using end-to-end (E2E) relative entropy of coherence (REC) and E2E fidelity to assess path feasibility.
- A lookup table stores BBPSSW purification levels, E2E fidelity, REC, and raw Bell pair requirements, calculated using Werner states, amplitude damping, twirling, BBPSSW purification, and entanglement swapping.
- CAFARA selects the path with the highest entanglement generation rate (EGR) among feasible options, balancing quality, latency, and resource constraints.
Main Results:
- CAFARA demonstrated a superior average request success rate compared to FARA-PostREC by mitigating late-stage drops related to coherence.
- FARA-NoREC, which ignores REC, accepted more requests but yielded lower average final fidelity and coherence, failing to meet REC thresholds.
- CAFARA effectively balances request success rate, latency, purification overhead, and resource consumption while guaranteeing quality.
Conclusions:
- The proposed CAFARA algorithm offers a significant advancement in quantum network routing by integrating coherence as a critical quality metric.
- CAFARA ensures high-quality entangled states by considering both fidelity and coherence, leading to more reliable quantum communication.
- The algorithm provides a practical framework for optimizing quantum network operations, addressing limitations of previous fidelity-only approaches.
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