AMD said its Alveo X3 accelerator cards improved quantum simulation performance by 30 times, underscoring its push to supply the classical hardware behind hybrid quantum systems.
Current quantum workloads still depend heavily on classical computing for control, calibration, orchestration, simulation, post-processing and error correction, and AMD says that demand will keep rising as quantum processors mature.
AMD is positioning EPYC CPUs, Ryzen chips, FPGAs, adaptive SoCs and Kria modules as that foundation, with products aimed at data-center and edge deployments across different quantum modalities.
ROCm and Vitis are being extended to orchestrate quantum accelerators alongside GPUs, reflecting AMD's view that practical quantum computing will emerge from converged quantum, HPC and AI architectures.
The strategy comes as quantum investment broadens beyond labs, with the U.S. Commerce Department recently announcing more than $2 billion in quantum computing and manufacturing initiatives.
In June 2026, AMD announced a major breakthrough in quantum simulation by introducing its Alveo X3 Series accelerators, which deliver up to 30x speedup for quantum workloads. This leap comes as quantum computing shifts from lab research to real-world applications. AMD’s strategy centers on hybrid quantum-classical computing, combining the strengths of classical and quantum processors. With a comprehensive platform for developing and scaling next-generation quantum systems, AMD is uniquely positioned to drive this technological shift and accelerate the adoption of practical quantum solutions.