A quantum feedforward network is a type of quantum neural network where the flow of information is unidirectional, meaning that data moves forward through the network without any loops or feedback connections. This structure allows for a more straightforward architecture in quantum computing applications, enabling efficient processing and learning from quantum data while leveraging the principles of superposition and entanglement.
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