Classiq Quantum computing
AMD, Classiq, and Comcast have successfully partnered on an experiment to improve internet routing through the use of quantum algorithms. The goal of this project was to increase network resilience by determining the best backup routes to avoid service interruptions during hardware malfunctions or maintenance. To get around the restrictions of existing technology, the researchers used AMD Instinct GPUs to execute genuine quantum executions in addition to high-scale simulations. The researchers were able to tackle intricate combinatorial optimization issues using this hybrid technique, which is often challenging for regular computers as networks grow. The project’s ultimate goal is to show that quantum software may be used to effectively handle the growing demands of contemporary digital infrastructure.
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Classiq, the top quantum software business with its headquarters in Israel, and the Philadelphia-based telecom behemoth are collaborating on the experiment. The major goal was to find autonomous backup routes for network sites during maintenance and change management, which is a basic problem in contemporary network architecture.
Solving the Complexity of the Modern Internet
Global networks are considerably harder to manage as their size increases. Making ensuring that traffic can be smoothly diverted without causing any inconvenience to customers in the event that one network site is taken offline for normal maintenance and another site suddenly breaks at the same time is the aim for a provider such as Comcast. It is a combinatorial optimization issue with a large search space to find these distinct backup pathways that are quick, robust, and low-latency optimal.
Elad Nafshi, Chief Network Officer of Comcast connection and Platforms, said, “Our customers want simple connectivity that is fast, secure, and dependable.” He pointed out that although the objective is straightforward, the scope and dynamic nature of contemporary networks make execution exceedingly difficult. In contrast to being only a theoretical idea, Nafshi stressed that the trial’s outcomes demonstrate that quantum computing for network optimization is now feasible and scalable.
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A Hybrid Approach: Quantum Meets Classical High-Performance Computing
The success of the experiment was based on a hybrid strategy that blended high-performance classical computers with quantum approaches. To get the required computing capability, which is often known as qubit scale, the researchers employed AMD Instinct GPUs in accelerated simulation scenarios. This enabled quick iterations and validation of algorithm behavior at a scale that is currently beyond the capabilities of existing quantum hardware alone.
AMD’s corporate vice president of Compute and Enterprise AI Products, Madhu Rangarajan, emphasized that the confluence of conventional and quantum systems is where computing is headed. The partnership demonstrated how these two technologies may work together to address important operational issues in the real world by supporting quantum execution with high-performance conventional products.
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The Function of Quantum Software from Classiq
Classiq, which offered the engineering support and tools required to represent these intricate issues, was at the center of the algorithmic development. Using AI-driven coding and Qmod, a high-level modeling language, Classiq’s platform automatically creates hardware-ready, efficient quantum circuits.
According to Nir Minerbi, co-founder and CEO of Classiq, corporate quantum research and development need repeatable processes and the capacity to execute simulations on several backends, such as GPUs and actual quantum hardware. As the quantum ecosystem continues to develop, he said, this cooperation shows how teams may model and brainstorm solutions to challenging issues while maintaining the portability of their work.
Classiq, a Fast Company called a “Next Big Thing in Tech” for 2025, has made a reputation for itself as a category leader in the industry. With the support of prominent international investors including SoftBank, AMD, Qualcomm, and HSBC, the business applies quantum solutions to a variety of industrial problems in collaboration with a wide spectrum of partners, including BMW, Rolls-Royce, and Deloitte.
Toward the Future: The Quantum Ecosystem
Beyond telecoms, this trial has wider ramifications. Classiq is currently engaged in a broad range of quantum applications, from computational fluid dynamics in collaboration with NVIDIA and Rolls-Royce to financial portfolio optimization with Citi. With Comcast’s trial success, “Energy & Networks” joins the expanding list of sectors actively investigating quantum solutions, which also includes healthcare, automotive, and finance.
Integrating quantum-powered optimization seems to be a crucial step in building the future of the Internet, which will be more dependable and robust as network demand continues to rise globally. Through the demonstration of these algorithms’ ability to operate in real-time change management situations, Comcast, Classiq, and AMD have raised the bar for what is feasible at the nexus of quantum and classical computing.
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