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Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Abstract: The problem of robust matrix completion—the recovery of a low-rank matrix and a sparse matrix from a sampling of their superposition—has been addressed extensively in prior literature. Yet, ...
Abstract: Recently, deep unfolding networks (DUNs) have emerged as a promising technique for image Compressive Sensing (CS) reconstruction by unfolding optimization algorithms, where each stage of the ...
Infleqtion’s CCCX SPAC merger gains DOE ARPA-E ENCODE deal to boost AI-era electric grid optimization with quantum ...
ABB has introduced a software-as-a-service (SaaS) option for its energy optimization software ABB Ability OPTIMAX 7.0.
Fan Bin, founder of GCL Optoelectronics, about how high-throughput experimentation and AI-driven optimization are ...
Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
We list the best cloud computing provider, to make it simple and easy to manage your data and software online, with robust security and at an affordable rate. Cloud services have revolutionized ...
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