This approach enables block encoding of any sparse matrix with a clear gate-level construction, significantly reducing circuit complexity and control overhead, bringing quantum algorithms closer to ...

Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

SparseEA is a MATLAB-based evolutionary algorithm designed for solving multi-objective feature selection problems in classification tasks. It leverages advanced evolutionary strategies to enhance the ...

This letter proposes a differential evolution (DE) with matrix mapping for sparse rectangular planar array synthesis technique with multiple constraints. The multiple constraints include the number of ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...