Quantum machine learning is a highly promising application for quantum computing. The hybrid quantum-classical convolutional neural networks (QCCNN) employs parameter quantum circuit to enhance ...

For example, when using the quantum processor to reconstruct lightning data, they found it did a better job at lower altitudes but was generally comparable to the classical neural network.

Nadia Haider is in the Quantum Computing Division of QuTech and the Department of Microelectronics, Delft University of Technology, 2628 CD Delft, the Netherlands ...

Quantum resources for artificial intelligence Memristors are thought to be valuable in neural networks, which typically require large amounts of training data to operate effectively. An architecture ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Classical computing has operated as the fundamental power behind our digital world for many ...