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 ...

One of the most common requests I get from readers is to demonstrate a neural network implemented using the Python programming language. The use of Python appears to be increasing steadily. If you ...

Integrated quantum computing company Quantinuum Ltd. today unveiled new open-source software tools designed to accelerate ...

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 ...

Italian researchers recently developed the first functioning quantum neural network by running a special algorithm on an actual quantum computer. The team, lead by Francesco Tacchino of the ...

For this reason, we hope that makes AI an ideal field for near-term quantum computing. Our project will involve demonstrating the principles involved with a quantum neural network.

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.

The practical assessment of quantum computing by tech leaders requires knowledge of how quantum computing differs from classical computing systems.