Introduction to Data Loading

A key challenge in quantum computing applications — such as quantum machine learning, finance, and optimization — is efficiently encoding classical data into quantum states. This process, dubbed as Quantum Data Loading, involves preparing quantum circuits that convert classical information into a suitable quantum representation. Effective data loading is critical for running practical quantum algorithms beyond synthetic benchmarks.