Quantum Phase Estimation (QPE) is a key technique in quantum computing that leverages quantum superposition and interference principles to efficiently estimate the phase information of quantum states.

The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...

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 ...

One might think that understanding the most mysterious theory in physics shouldn’t be difficult for artificial intelligence ...

In this way, it is possible not only to quantumize classical neural networks, but also to design various specialized quantum models, such as convolutional quantum networks, recursive quantum ...

MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits ...

In classical neural networks, feedforward propagation is used to compute the activation values of input data, while backpropagation adjusts weights to minimize the loss function. WiMi's quantum ...

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 ...

(MENAFN- GlobeNewsWire - Nasdaq) Beijing, April 23, 2025 (GLOBE NEWSWIRE) -- WiMi Developed a Quantum Computing-Based Feedforward Neural Network (QFNN) Algorithm BEIJING, Apr. 23, 2025––WiMi ...