IBM and AMD Collaborate on Quantum-Centric Computing

• IBM and AMD aim to merge quantum and classical computing to accelerate problem-solving in science, logistics, and AI.

Hybrid Architectures for Advanced Problem Solving

IBM and AMD have announced a strategic collaboration to develop quantum-centric supercomputing platforms. These systems will combine quantum processors with high-performance classical computing, including AI accelerators, to address complex challenges. IBM brings expertise in quantum hardware and software, while AMD contributes its leadership in CPUs, GPUs, and scalable compute technologies. Together, the companies plan to build open-source, modular architectures that can support emerging workloads.

Quantum computing operates on fundamentally different principles than classical systems. Unlike binary bits, quantum bits—or qubits—leverage quantum mechanics to represent data in multiple states simultaneously. This expanded computational space allows for new approaches to problems in fields such as drug discovery, materials science, and logistics. Classical systems, meanwhile, remain essential for handling large-scale data analysis and AI-driven tasks.

Integration of AMD Hardware with IBM Quantum Systems

The partnership will explore how AMD’s CPUs, GPUs, and FPGAs can be integrated with IBM’s quantum platforms. This hybrid model aims to accelerate algorithms that neither classical nor quantum systems can efficiently handle alone. Real-time error correction, a critical component of fault-tolerant quantum computing, may benefit from AMD’s hardware capabilities. IBM’s goal is to deliver fault-tolerant quantum computers by the end of the decade, and AMD’s technologies could play a key role in that effort.

An initial demonstration is planned for later this year to showcase hybrid quantum-classical workflows. The companies will also investigate how open-source frameworks like Qiskit can support algorithm development and adoption. These efforts are part of a broader push to make quantum computing more accessible and practical for real-world applications. By combining resources, IBM and AMD hope to overcome current limitations in both paradigms.

Broader Context and Industry Momentum

IBM has already taken steps toward quantum-classical integration through partnerships with institutions such as RIKEN and Cleveland Clinic. One notable project involves connecting IBM’s Quantum System Two with Fugaku, one of the world’s fastest classical supercomputers. These collaborations aim to demonstrate how hybrid systems can outperform traditional computing in specific domains. Additional partners, including Lockheed Martin and the Basque Government, are exploring similar use cases.

AMD’s hardware powers Frontier and El Capitan, the two fastest supercomputers globally according to the TOP500 list. Frontier, located at Oak Ridge National Laboratory, was the first to surpass the exascale threshold. AMD’s components also support generative AI workloads across enterprise and cloud platforms. As quantum computing matures, its convergence with high-performance infrastructure could redefine computational capabilities across industries.