AMD says the future of quantum computing lies in hybrid architectures that combine quantum systems with classical computing technologies to accelerate scientific discovery and commercial applications.
For years, quantum computing has been defined largely by scientific breakthroughs, laboratory demonstrations and long-term promises. Today, however, it is increasingly being viewed as a strategic technology. Governments, research institutions and enterprises are investing billions of dollars in quantum computing’s potential, citing benefits ranging from economic competitiveness and scientific leadership to national security.
The US Department of Commerce in May announced plans to invest more than US$2 billion in quantum computing and quantum manufacturing initiatives. The move reflects growing confidence that quantum technologies are approaching practical applications and highlights the priority being placed on developing domestic quantum ecosystems.
However, the future of quantum computing will not be built on quantum processors alone. Instead, it will rely on the convergence of quantum computing, high-performance computing (HPC) and artificial intelligence (AI).
AMD argues that quantum computing systems are increasingly evolving towards hybrid architectures that combine quantum and classical technologies. The company believes this convergence represents the next phase of computing and positions its portfolio of processors, accelerators, adaptive computing technologies and networking solutions as a foundation for emerging quantum environments.
According to AMD, its CPUs, GPUs, FPGAs, adaptive SoCs, networking technologies and open software platforms provide the classical infrastructure required to develop, operate and scale next-generation quantum systems.
Quantum’s next step is hybrid
Quantum computers are not simply faster versions of classical computers. They represent a fundamentally different computing model that uses the principles of quantum mechanics to tackle problems that are difficult or impossible for conventional systems to solve efficiently.
Potential long-term applications include chemistry, materials science, drug discovery, energy research, optimisation and advanced scientific modelling. In these fields, quantum systems could enable new discoveries and unlock significant economic opportunities.
Yet today’s quantum systems remain constrained by challenges including error rates, coherence limitations, scalability and overall system complexity. As a result, current quantum workloads continue to depend heavily on classical computing for functions such as control, calibration, orchestration, simulation, data preparation, post-processing and error correction.
Even as quantum processors become more capable, AMD expects the requirements for classical computing to grow rather than diminish.
The company believes hybrid quantum-classical computing will define the next phase of development, with quantum processors operating as specialised accelerators within larger computing environments. In this model, quantum systems tackle those parts of workloads where they can offer an advantage, while classical systems perform the surrounding computations needed to make the results useful.
AMD says the approach mirrors existing high-performance computing environments, where workloads are distributed between CPUs and GPUs according to their processing requirements. The company also expects its ROCm software platform to evolve to support the orchestration of quantum accelerators alongside GPUs.
Why classical technologies matter
Every approach to quantum computing, whether superconducting, trapped-ion, neutral-atom or photonic, presents different control, timing and integration requirements. There is no single technology stack.
What these approaches do share is the need for powerful classical infrastructure. AMD says its EPYC server processors support orchestration and workflow management, while its Instinct accelerators power simulation and AI-assisted research. The company also positions its FPGAs and adaptive computing technologies as suitable for low-latency control and real-time error correction, with networking technologies connecting these resources into scalable platforms.
AMD says it is deliberately supporting multiple quantum approaches rather than aligning with a single modality or vertically integrated architecture, arguing that a heterogeneous computing foundation will be essential as the sector matures.
Collaboration moves the ecosystem forward
Progress in quantum computing will require collaboration across hardware, software, systems integration, research institutions and application development.
AMD has established collaborations with organisations including JPMorganChase and Oak Ridge National Laboratory to explore how quantum systems can be integrated with AI and high-performance computing environments. The company is also working with IBM on quantum-centric supercomputing architectures designed to bring together quantum processors, HPC and AI resources.
According to AMD, these initiatives reflect a broader industry reality: quantum innovators require powerful classical infrastructure and infrastructure providers have an essential role to play in advancing the ecosystem.
Building the infrastructure for the quantum era
Quantum computing is approaching a critical transition. Large-scale, fault-tolerant systems remain a long-term goal, but meaningful progress is already taking place through hybrid workflows, quantum simulation, error correction research and quantum-classical integration.
AMD argues that success in the sector will depend less on raw qubit counts and more on system architecture, software integration and overall compute efficiency.
The company says it is pursuing a platform strategy designed to support a broad range of quantum workflows and enabling technologies, rather than focusing on individual components or betting on a single qubit modality.
As quantum computing moves from laboratory research towards commercial applications, AMD believes the companies providing the foundational technologies underpinning hybrid computing environments will play a pivotal role in shaping the sector’s next phase of growth.
