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 done by Eun-Ah Kim of ...

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 ...

Visual explanations of machine learning model estimating charge states in quantum dots. APL Machine Learning , 2024; 2 (2) DOI: 10.1063/5.0193621 Cite This Page : ...

The news: Google is releasing free open-source software that will make it easier to build quantum machine-learning applications. TensorFlow Quantum is an add-on to Google’s popular TensorFlow ...

New study uses machine learning to bridge the reality gap in quantum devices. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 01 / 240109121123.htm ...

Google today announced the launch of TensorFlow Quantum, bringing together machine learning and quantum computing initiatives at the company.The framework can construct quantum datasets, prototype ...

Dublin, Nov. 21, 2024 (GLOBE NEWSWIRE) -- The "Machine Learning and Deep Learning in the Quantum Era 2024: A Market Forecast and Technology Assessment" report has been added to ResearchAndMarkets ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 Journal ...