June 19, 2026 -- The U.S. Department of Commerce in May announcedplans to invest more than $2 billionin quantum computing and quantum manufacturing initiatives. The investment reflects a growing confidence that quantum tech is nearing practical impact and a national priority to build a domestic quantum ecosystem.

But the future of quantum computing will not be built on quantum processors alone. Its foundation will be the convergence of quantum computing, high-performance computing and artificial intelligence.

Quantum computing systems are evolving toward hybrid architectures. It’s at this intersection of quantum and classical technologies whereAMDlives.

With AMD’s long history and broad portfolio, the company is uniquely qualified to enable quantum and all it promises. For nearly a decade, AMD has engineered technologies that make quantum computing practical. The company’s CPUs, GPUs, FPGAs, adaptive SoCs, networking and open software provide critical classical infrastructure needed to develop, operate and scale next-generation quantum systems.

Quantum’s Next Step is Hybrid

Quantum computers are not faster versions of classical computers. They are a fundamentally different computing model designed to use the properties of quantum mechanics to explore certain problems that classical systems struggle to solve efficiently. Promising long-term applications include chemistry, materials science, drug discovery, energy research, optimization and advanced scientific modeling. In each of these areas quantum systems could unlock new discoveries and new economic opportunities.

Yet today’s quantum systems remain constrained by factors such as error rates, coherence limitations, scaling challenges and system complexity. As a result, most current quantum workloads depend heavily on classical computing for functions that include control, calibration, orchestration, simulation, data preparation, post-processing and error correction. Even as quantum processors become more capable, classical requirements are expected to grow rather than disappear.

As AMD sees it, the future is increasingly centered on hybrid quantum-classical computing, where quantum processors serve as specialized accelerators within larger computing environments. Quantum systems tackle the portions of problems where they may offer an advantage – the beyond-classical or many-body problems – while classical systems handle the surrounding computations that make those results useful.

It’s the same idea in high-performance computing, where workloads are assigned to CPUs or GPUs based on how much parallel processing they require. The existing suite of AMD ROCm software for HPC is evolving and is expected to provide support for orchestrating quantum accelerators in addition to GPUs.

Why AMD Technologies Matter

Every approach to quantum computing – superconducting, trapped-ion, neutral-atom, photonic and others – presents different control, timing and integration requirements. It’s not a single technology stack.

But what every approach shares is a need for powerful classical infrastructure. And that aligns across AMD’s portfolio:

• AMD EPYC server processorssupport orchestration, workflow management and high-performance computing workloads.
• AMD Instinct graphics processing acceleratorspower simulation, modeling and AI-assisted research.
• AMD FPGAs and adaptive computing technologiessupport low-latency control, readout and real-time error correction.
• AMD networking, software and system-level technologiesconnect these resources into scalable platforms.

AMD supports all quantum approaches. The company is not tied to one quantum modality or one vertically integrated architecture. Instead, AMD helps provide the heterogeneous compute foundation that different quantum approaches can build upon.

Collaboration Moves the Ecosystem Forward

Quantum computing progress requires collaboration across hardware, software, systems, research institutions and application developers. The role of AMD – working with ecosystem leaders to explore how quantum systems can be integrated with classical computing infrastructure – reflects that reality.

AMD collaborates with leaders in quantum computing, financial services and scientific research – including JPMorganChase and Oak Ridge National Laboratory – to explore the integration of quantum systems with AI and high-performance computing environments.

And AMD’s work with IBM focuses on quantum-centric supercomputing architectures that bring together quantum processors, HPC and AI resources. AMD’s collective efforts explore how AMD CPUs, GPUs and adaptive computing technologies can work alongside IBM quantum systems to support emerging hybrid workloads.

This collaborative approach recognizes a fundamental truth about the industry: Quantum innovators typically need powerful classical infrastructure, and classical infrastructure providers play an essential role in helping the ecosystem advance.

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 happening through hybrid workflows, quantum simulation, error correction research and quantum-classical integration. Success in this space depends less on raw qubit counts and more on system architecture, software integration and compute efficiency.

AMD’s strategy is to support broad quantum workflows and enabling technologies. It’s a platform strategy, not a component strategy. And in an emerging market, platform strategies tend to create more durable strategic leverage than point solutions.

AMD is not betting that one qubit modality will win quickly or that the market will settle around one vertically integrated provider. The company is building infrastructure to support a broad range of quantum modalities. The Commerce Department’s investment initiative signals that governments believe the time to build the supporting ecosystem is now.

As the quantum era transitions from ambitious laboratory curiosity to commercial necessity, AMD isn’t just participating in the ecosystem. It is building foundational computing technologies to support quantum computing at scale.