The urgent demand for computing power in Artificial intelligence (AI) technology has driven the rapid development of dedicated accelerators. Meanwhile, the threat posed by quantum computing to ...

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

During the past 20 years, low-rank tensor and matrix decomposition models (LRDMs) have become indispensable tools for signal processing, machine learning, and data science. LRDMs represent ...