They published their new study in the journal Machine Learning: Science and Technology on December 5, 2024. "By enabling a quantum computer to optimize multiple targets at once, this algorithm ...

Researchers found a way to automatically infer parameters used in an important quantum Boltzmann machine algorithm for machine learning applications. A Florida State University professor's ...

People have performed many mathematical proofs to show that a quantum computer will vastly outperform traditional computers on a number of algorithms. But the quantum computers we have now are ...

By combining a new way of modeling quantum systems with increasingly sophisticated machine learning algorithms, researchers have established a method for classical machines to model and predict ...

Quantum machine learning significantly enhances existing machine learning algorithms, improving their accuracy, effectiveness and efficiency. By leveraging quantum processing, complex calculations ...

Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics. The critical challenge for computing is to find the ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine-learning algorithms present a powerful tool to address that complexity. The discovery of suitable protocols for algorithm usage is vital for the development of sensors for precise quantum ...

The introduction of this technology marks a significant step forward in the practical application of quantum machine learning ... design and optimization algorithms. In terms of circuit design ...