Abstract: Matrix multiplication is a critical computational bottleneck in modern Transformer-based AI systems, particularly within the self-attention and Feed-Forward Network (FFN) layers. Among ...
Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...
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