In the race toward practical quantum computers and networks, photons—fundamental particles of light—hold intriguing ...

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation ...

Recognizing the potential of these modular systems, researchers from The Grainger College of Engineering at the University of ...

CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in predicting GaN transistor properties.

This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools ...

However, the existing quantum computing platforms are hard to simulate classical deep learning models or problems because of the intractability of deep quantum circuits. Thus, it is necessary to ...