Quantum computers boost machine learning algorithms Small-scale quantum computers can enhance machine learning performance, as shown in an experimental study using a photonic quantum processor. ( ...

First, Yandex says that it is starting to use the new framework itself across its own services, to replace MatrixNet, which is the machine learning algorithm that up to now has been used at the ...

Tohoku University. (2024, December 10). New algorithm boosts multitasking in quantum machine learning. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 ...

Rigetti’s algorithm, for instance, isn’t of any practical use, and it isn’t entirely clear how useful it would be to perform clustering tasks on a quantum machine.

XGBoost is an open source machine learning library that implements optimized distributed gradient boosting algorithms. XGBoost uses parallel processing for fast performance, handles missing values ...

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).