As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks. However, quantum systems are also more sensitive to noise and thus prone to ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

BEIJING, Dec. 23, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

SHENZHEN, China, Nov. 14, 2025 /PRNewswire/ — MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has launched a groundbreaking technological achievement ...