MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing simulation framework founded on a serial-parallel ...

AI video generators often give results that are close, but no cigar, in terms of delivering what your text-prompt wanted. But ...

Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...

Abstract: Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative ...

This LU solver uses the pure Gilbert-Peierls left-looking algorithm, which is suitable for very sparse linear systems, such as circuit problems. This LU solver uses OpenMP to parallelize the LU ...

This repository provides implementations of the Orthogonal Symmetric Nonnegative Matrix Tri-Factorization (OtrisymNMF) algorithm in three different programming languages: Julia, MATLAB, and Python, as ...

Fingerprint matrices transform scattered light into clear images, overcoming challenges in opaque environments and paving the ...

In massive, 1 + 1 dimensional, local, quantum field theories the existence of two conserved charges is shown to be a sufficient condition for the absence of particle production and factorization of ...

Primes are integers greater than 1 with only two divisors. They are the fundamental building blocks of math and the backbone of modern cryptography.

Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...