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Network Fault Prediction

Telecom Industry  •  Quantum Machine Learning

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Telstra

Australia's largest telecommunications company, providing a wide range of services including mobile and internet

Telstra tested quantum reservoir systems for prediction of network outages and found results on par but at lower computational costs than classical methods.

Challenges

Solution

Results

Needed a faster, more efficient way to predict and resolve network issues, as their current deep learning models required substantial resources and weeks to train.

Tested a quantum reservoir system for predictive network analytics, comparing its performance to traditional methods.

The quantum solution delivered equally accurate results with significantly shorter training times and less hardware, paving the way for improved customer insights and future quantum adoption.

Challenges

Needed a faster, more efficient way to predict and resolve network issues, as their current deep learning models required substantial resources and weeks to train.

Solution

Tested a quantum reservoir system for predictive network analytics, comparing its performance to traditional methods.

Results

The quantum solution delivered equally accurate results with significantly shorter training times and less hardware, paving the way for improved customer insights and future quantum adoption.

“We’re constantly looking ahead to technologies that can help us create smarter connectivity experiences for our customers – from increased personalisation to issue prevention. Quantum computing is a promising frontier we’re exploring.” - Shailin Sehgal, Telstra’s Group Executive of Global Networks and Technology