Quantum random access memory (QRAM) is a theoretical model of memory storage that leverages quantum mechanics to enable efficient data retrieval and storage. QRAM allows for simultaneous access to multiple memory locations, which can dramatically enhance the performance of quantum algorithms by providing a rich feature space where data can be processed in parallel. This capability is particularly important for handling large datasets and optimizing quantum computations, making QRAM a critical component in the advancement of quantum machine learning techniques.
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