Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

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 ...

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Validity of the quantum circuit learning (QCL) method for the prediction of physical properties of complex materials has been explored by comparing the prediction results of Vickers hardness of the ...

This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently "noisy." Rice University computer scientists have developed algorithms ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has announced its research into the Synergic Quantum ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...