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Comcast, Classiq and AMD Demonstrate Quantum Algorithm for More Resilient and Reliable Internet
PHILADELPHIA & TEL AVIV, Israel--(BUSINESS WIRE)-- Classiq, the leading quantum computing software company, Comcast and AMD today announced the completion of

About this update from Comcast Corporation
[{"type":"text","content":" PHILADELPHIA & TEL AVIV, Israel--(BUSINESS WIRE)--\nClassiq, the leading quantum computing software company, Comcast and AMD today announced the completion of a groundbreaking trial aimed at improving Internet delivery by leveraging quantum algorithms to supercharge network routing resilience.\n\n\n“What our customers want is simple: fast, secure and reliable connectivity, but when you operate a network as large and dynamic as ours, delivering on that promise is complex, especially in the face of growing network demand,” said Elad Nafshi, Chief Network Officer, Comcast Connectivity and Platforms. “We launched these trials with Classiq last year with the goal of understanding how quantum software and technology could tackle real network challenges. Our results have shown that quantum computing for network optimization isn’t theoretical – it’s practical, scalable, and grounded in the needs of our customers.”\n\n\nAbout the Trial\n\n\nThe joint trial tackled a fundamental network design challenge: identifying independent backup paths for network sites when implementing network maintenance and change management. The goal being that if a network site is taken offline for routine maintenance, should a second site unexpectedly fail during that window, network traffic could be seamlessly rerouted without any disruption or degradation to customer connectivity. To achieve this outcome, operators must identify unique backup paths that are fast, resilient to simultaneous link failures, and optimized for the lowest latency delivery, a task that becomes exponentially harder to identify as networks grow.\n\n\nThe trial applied quantum techniques, alongside high-performance classical computing, to test whether quantum algorithms could successfully identify unique network backup paths in real-time across change management scenarios. It comprised of execution on quantum hardware and in accelerated simulation environments that made use of AMD Instinct™ GPUs to achieve meaningful computational capacity (qubit scale) not yet possible through quantum hardware alone. With the GPU-accelerated simulations, the teams were able to iterate rapidly and validate algorithm behavior, together with runs executed on quantum hardware to assess implementation success. Review more detailed trial results in this scholarly article authored by the research team and t...