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Classiq Technologies, a provider of a quantum application development platform, together with Comcast and AMD, announced the completion of a groundbreaking proof-of-concept experiment aimed at leveraging quantum algorithms to enhance network routing resiliency and improve internet delivery.
“Comcast is committed to delivering a seamless, seamless experience for our customers,” said Elad Nafshi, Chief Network Officer, Comcast Connectivity and Platforms.
“What our customers want is simple: fast, secure, and reliable connectivity. But when you operate a large, dynamic network like ours, delivering on that promise is not easy, especially as demand on the network grows. We began this experiment last year with Classiq to explore how quantum software and technology can address real-world network challenges . Our results show that quantum computing for
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About the demonstration experiment
This joint demonstration tackled a fundamental challenge in network design: identifying independent backup routes for network locations when performing network maintenance and change management.
For example, if one site is down for scheduled maintenance and another site experiences an unexpected outage, the goal is to seamlessly reroute traffic without impacting or degrading customer connections. This requires identifying unique, low-latency, optimized backup paths that can tolerate simultaneous link failures. However, this problem becomes exponentially more complex as the network scales.
This demonstration combined quantum technology with high-performance classical computing to verify the ability to identify unique backup paths in real time under change management scenarios. The experiment included execution on both quantum hardware and an accelerated simulation environment utilizing AMD Instinct™ GPUs, achieving meaningful computational capacity (qubit scale) not yet achievable with quantum hardware alone.
GPU-accelerated simulations enabled the team to rapidly develop and validate the algorithm’s behavior, while running it on quantum hardware in parallel to confirm the successful implementation. Detailed results of the trials can be found in a preprint of an academic paper written by the research team.
For this demonstration, Classiq provided quantum software and engineering support, enabling rapid modeling, optimized implementation, and execution across both hardware and simulation environments.
Optimization problems in global communication networks are computationally intensive because the combinatorial search space grows exponentially as the network scale expands, making them ideal challenges for quantum computing.
SOURCE: PRTimes
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