EurekAlert!

Compression using automatically differentiable tensor networks: Fewer parameters with equal or better performance

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...
EurekAlert!

Tensor networks: Enhancing interpretability and efficiency in quantum-inspired machine learning

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Yahoo Finance

MicroCloud Hologram Inc. Researches Holographic Technology Based on Quantum Tensor Network States

SHENZHEN, China, Jan. 10, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), today announced the research on holographic technology based on quantum tensor ...
Morningstar

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

SHENZHEN, China, Jan. 16, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration ...