There are multiple quantum algorithms exhibiting quantum speedup that could act as subroutines, or building blocks, for quantum machine learning programs. The input problem could be mitigated to some ...

New algorithm boosts multitasking in quantum machine learning. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 / 241210115620.htm ...

Quantum mechanics, which is the study of the behavior of sub-atomic particles, provides a way to enhance the use of machine learning to resolve inherently complex problems around optimization ...

Machine learning, meet quantum computing. A quantum version of the building block behind neural networks could be exponentially more powerful. By . Emerging Technology from the arXiv archive page; ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

Qiskit Machine Learning is designed to add a touch of quantum computing to machine-learning models, even with little knowledge of particle physics. Written by Daphne Leprince-Ringuet, Contributor ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

In quantum physics, there is an implicit understanding that the answers are often “probabilistic” Perhaps this is the key insight which can allow us to leverage the power of machine learning ...

Imperial College London. (2023, October 4). Machine learning used to probe the building blocks of shapes. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 10 ...