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 ...
Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Countless times the Botswana Football League’s (BFL) revolving door has swung to welcome a new sheriff amidst soaring expectations for the local game, but the highly charged Lekidi Centre environment ...
This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...
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