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  Post-Quantum AI Chips: Hardware Built for Quantum Algorithms As quantum computing moves from theory to reality, the demand for specialized hardware that can support quantum algorithms is rapidly growing. Post-Quantum AI chips represent a breakthrough in this evolution — bridging the gap between classical processing and quantum-enhanced computation. Unlike traditional AI chips optimized for matrix operations and classical neural networks, Post-Quantum AI chips are engineered to interact with quantum data structures such as qubits and superpositions. These chips leverage hybrid architectures, combining quantum signal processing units with classical control logic to enable more accurate and efficient training for quantum machine learning models. Why Post-Quantum Chips Matter Quantum algorithms, like Grover's and Shor's, have unique hardware requirements due to their reliance on quantum entanglement, parallelism, and interference. Standard silicon-based CPUs or...