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quant-ph2025
Non-Negative Matrix Factorization Using Non-Von Neumann Computers
Ajinkya Borle, Charles Nicholas, Uchenna Chukwu +2
Non-negative matrix factorization (NMF) is a matrix decomposition problem with applications in unsupervised learning. The general form of this problem (along with many of its varia…
quant-ph2024
Adaptive Quantum Optimized Centroid Initialization
Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas
Prototype-based clustering algorithms such as k-means are sensitive to the selection of initial cluster centroids, with poor initialization leading to slower convergence and subopt…
quant-ph2023
Quantum Optimized Centroid Initialization
Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas
One of the major benefits of quantum computing is the potential to resolve complex computational problems faster than can be done by classical methods. There are many prototype-bas…