By isolating the quantum contribution in the classification process, the team was able to pinpoint specific scenarios where ...

The company says it has cracked the code for error correction and is building a modular machine in New York state.

Ultimately, the new approach works because of how it encodes information. Classical computers use bits, which can take one of ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

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

the algorithm outputs the classification results through quantum measurement. In binary classification tasks, the input training samples are divided into two categories, while in multi-class tasks ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Using quantum algorithms can bring down infrastructure costs, as they allow you to solve ...

Quantum machine learning algorithms represent an innovative ... For specific machine learning tasks (such as classification, regression, or clustering), the team preprocesses classical data ...