WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...
Nasdaq

MicroAlgo Inc. Develops Quantum Neural Networks Integrated with Grover's Algorithm to Enhance Big Data Search Efficiency

SHENZHEN, China, March 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and ...
Seeking Alpha

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

BEIJING, Oct. 20, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 20, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
Nasdaq

MicroCloud Hologram Inc. Unveils Innovative Noise-Resistant Deep Quantum Neural Network Architecture for Quantum AI Advancements

MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of quantum ...
Morning Overview on MSN

Quantum reservoir computing hits its peak at the brink of many body chaos

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...
Live Science on MSN

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Phys.org

Adaptive method helps light-based quantum processors act more like neural networks

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...
EurekAlert!

A step toward practical photonic quantum neural networks

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...
Phys.org

Using a fermionic neural network to find the ground state of fractional quantum Hall liquids

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic ...