AMD is accelerating progress in quantum simulation. This advancement highlights the potential of a hybrid approach to quantum computing, combining classical and quantum processing power. The company’s adaptive portfolio extends beyond raw processing with Kria System-on-Modules, including the KD240 Drive Starter Kit, KV260 Vision AI Starter Kit, and KR260 Robotics Starter Kit, offering readily deployable, application-specific solutions. AMD’s broad range of adaptive SoC and FPGA technologies positions it as a key player in delivering specialized acceleration for diverse workloads, from data centers to edge computing and increasingly complex quantum challenges. AMD’s Role in Hybrid Quantum Architectures AMD is accelerating progress in quantum simulation and establishing the infrastructure for hybrid quantum-classical computing systems. While quantum processors receive significant attention, the company emphasizes the essential, and often underestimated, contribution of classical high-performance computing (HPC) to realizing quantum’s potential. AMD views the future as a convergence of quantum, HPC, and artificial intelligence, with its own technologies positioned at the critical intersection. For years, progress in quantum computing remained largely confined to laboratory settings; however, a shift is underway, fueled by substantial investment from governments and enterprises recognizing its strategic importance. The recent announcement by the Department of Commerce of over $2 billion in quantum computing and manufacturing initiatives underscores a growing confidence in the technology’s impending practical impact and the need for a robust domestic ecosystem. AMD asserts that this future will be built on hybrid architectures, leveraging the strengths of both quantum and classical systems. The company states that “Quantum won’t replace classical computing; it will accelerate it through a hybrid architecture,” highlighting its long-standing commitment to providing the necessary classical foundation. AMD’s portfolio, encompassing CPUs, GPUs, FPGAs, adaptive SoCs, networking solutions, and open-source software, is designed to address the diverse needs of developing and scaling next-generation quantum systems. Current quantum workloads