Dynamic Network Optimization
Reduce peak-hour congestion and latency through real-world quantum-enhanced routing models.
Telecommunications
Industry Sector: Telecom & 5G/6G Infrastructure
Lead Beneficiary: OTE Group
The Industry Challenge
Next-generation telecommunications networks must dynamically manage network traffic routing, spectrum allocation, and security across millions of connected endpoints. As data volumes explode, classical network management algorithms struggle to optimize routing in real time while detecting sophisticated cyber threats and telemetry spoofing.
The Approach
OTE Group integrates Q-VERSE algorithms into telecom management systems.
QML Traffic Routing: Applying quantum machine learning models to dynamically balance network traffic loads and optimize latency in dense cellular networks.
Anti-Spoofing & GAIA-X Telemetry: Leveraging GAIA-X data space connectors to ensure verifiable, tamper-proof network telemetry exchange across distributed edge nodes.
Key Objectives & Expected Impact
Data Space Trust
Validate secure, zero-trust telemetry flows between telecom operators and enterprise data spaces.
Ecosystem Adoption
Demonstrate a practical path for telecom operators to adopt hybrid quantum-classical network orchestration.