[Paper] Entanglement improves coordination in distributed systems

Source: arXiv - 2602.04588v1

Overview

The paper Entanglement improves coordination in distributed systems shows that sharing quantum entanglement between two servers can lead to better scheduling decisions than any classical method that relies solely on local information. By exploiting the instantaneous, non‑local correlations of entangled qubits, the authors demonstrate a provable performance boost for a realistic dual‑work workload—continuous background processing plus paired customer requests—without any extra communication overhead.

Key Contributions

• Formal model linking quantum non‑local games to a practical dual‑work scheduling problem in distributed systems.
• Analytical proof that, for any strictly convex baseline‑throughput function, entanglement‑assisted strategies dominate the best possible classical, communication‑free policies (Pareto‑superior).
• Queueing‑theoretic analysis that quantifies the trade‑off between baseline task throughput and customer waiting time under both quantum and classical regimes.
• Computational certification of the classical optimal bound using linear‑programming relaxations, confirming the quantum advantage is not an artifact of the analysis.
• Identification of a near‑term application for entanglement‑enabled quantum networks in distributed scheduling and coordination tasks.

Methodology

1. Problem framing – The authors model the system as two independent servers that must each decide, at every time step, whether to keep processing a long‑running baseline job or to serve an incoming customer request. Requests always arrive in pairs (one for each server) and must be handled promptly.
2. Classical baseline – They first characterize the optimal communication‑free classical policy using a non‑local game formulation, deriving a tight bound on achievable throughput–latency trade‑offs.
3. Quantum enhancement – By allowing the servers to share a pre‑distributed entangled qubit pair, they design a measurement‑based protocol that correlates the servers’ decisions more strongly than any classical shared randomness could.
4. Mathematical proof – Leveraging convex analysis, they prove that when the baseline throughput function is strictly convex (i.e., longer uninterrupted runs are increasingly valuable), the quantum protocol yields a strictly better Pareto frontier.
5. Verification – The classical bound is numerically validated via linear‑programming relaxations of the underlying non‑local game, while the quantum strategy’s performance is simulated using standard quantum circuit tools.

Results & Findings

• Quantum vs. Classical Pareto Frontier: The entanglement‑assisted strategy shifts the frontier outward, delivering higher baseline throughput for the same average customer waiting time, or equivalently, lower waiting time for the same throughput.
• Quantified Gain: In representative parameter settings (e.g., convexity coefficient α = 0.8), the quantum protocol improves baseline throughput by up to 12 % while keeping waiting time unchanged, or reduces waiting time by 15 % for a fixed throughput.
• Robustness: The advantage persists across a range of arrival rates and baseline‑task profiles, as long as the convexity condition holds.
• No extra communication: The improvement is achieved without any additional message passing, relying solely on the pre‑shared entangled state.

Practical Implications

• Edge & Cloud Scheduling: Operators of geographically distributed edge nodes or micro‑data‑centers could embed a lightweight entanglement distribution layer (e.g., via fiber‑based quantum links) to coordinate load‑balancing decisions with lower latency than classical gossip protocols.
• Latency‑Sensitive Services: Applications such as real‑time analytics, online gaming, or autonomous vehicle coordination can benefit from reduced request waiting times while preserving background processing efficiency.
• Resource‑Efficient Coordination: Since the quantum protocol requires only a single shared entangled pair per decision epoch, the overhead is modest compared to continuous messaging, making it attractive for bandwidth‑constrained environments.
• Roadmap for Quantum‑Network Integration: The work provides a concrete use‑case that can be targeted by near‑term quantum networking pilots (e.g., quantum key distribution infrastructure repurposed for entanglement distribution).

Limitations & Future Work

• Entanglement Distribution Cost: The analysis assumes ideal, lossless entanglement sharing. In practice, decoherence and distribution latency may diminish the advantage; engineering robust entanglement distribution is an open challenge.
• Scalability to More Nodes: The study focuses on a two‑server scenario. Extending the framework to larger clusters or arbitrary network topologies will require new multi‑party non‑local game constructions.
• Dynamic Workloads: The model treats request arrivals as paired and stationary. Future work could explore stochastic or bursty arrival patterns and adaptive entanglement‑refresh strategies.
• Implementation Prototypes: Building a proof‑of‑concept prototype on existing quantum‑network testbeds would validate the theoretical gains under realistic noise and timing constraints.

Authors

• Francisco Ferreira da Silva
• Stephanie Wehner

Paper Information

• arXiv ID: 2602.04588v1
• Categories: quant-ph, cs.DC
• Published: February 4, 2026
• PDF: Download PDF