This diagram illustrates how the team reduces ... further optimizations in quantum state encoding and quantum machine learning architecture design. One of the key obstacles to efficient quantum ...

(Courtesy: Eun-Ah Kim) Physicists in the US have used machine learning to determine the phase diagram of a system of 12 idealized quantum particles to a higher precision than ever before. The work was ...

Quantum mechanics, which is the study of the behavior of sub-atomic particles, provides a way to enhance the use of machine ... the neural network architecture used in deep learning on classical ...

The finding offers a glimpse into a faster, greener era within the relatively new research field of Quantum Machine Learning, ...

An interdisciplinary team of researchers developed a machine learning tool to parse ... Neural Networks as an Interpretable Architecture for Image-like Quantum Matter Data," published June 23 ...

20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical application ...

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