Abstract: Large matrix multiplications are central to large-scale machine learning applications. These operations are often carried out on a distributed computing platform with a master server and ...
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 ...
FOSDEM 2026 Amid growing interest in digital sovereignty and getting data out of the corporate cloud and into organizations' ownership, the Matrix open communication protocol is thriving. The project ...
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