Reduce network latency and boost performance with Wipro’s quantum-optimized routing solutions.
Modern digital ecosystems i.e. cloud platforms, telecom networks, and IoT infrastructures—demand ultra-low latency for mission-critical applications like video conferencing, autonomous vehicles, and edge computing. Traditional routing and resource allocation algorithms struggle when network topologies scale to thousands of nodes with dynamic traffic patterns. Classical optimization techniques often rely on heuristics, which can’t guarantee near-optimal performance under real-time constraints.
Why Quantum Computing:
Network latency optimization is a combinatorial problem involving millions of possible routing configurations. Quantum computing, through algorithms like Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing, can explore these configurations in parallel using quantum superposition. This capability enables faster identification of optimal or near-optimal paths compared to classical solvers.
The Quantum Advantage:
- Real-Time Routing: Quantum algorithms can compute optimized paths significantly faster, reducing latency for time-sensitive applications.
- Scalability: Handles large-scale network graphs without exponential slowdowns.
- Dynamic Adaptation: Supports continuous recalibration as network conditions change, improving resilience and user experience.
Our Solution
We developed quantum circuit for telecom network latency optimization using QAOA integrated with classical pre-processing. The model represented network nodes and links as a graph, with latency and bandwidth constraints encoded into the cost function. We executed the algorithm on a quantum simulator and benchmarked it against classical heuristics. Latency reduction of up to 20% in simulated multi-node networks compared to baseline routing algorithms was observed.
