Basically, they developed a single-layer artificial neural network (ANN) that runs on a quantum computer. This kind of rudimentary ANN is called a perceptron, and it’s the basic building block ...

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

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.

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 ...

On Aug. 4, D-Wave rolled out new tools allowing AI software developers to experiment with its quantum computer processors.

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

Quantum computing establishes its fundamental distinctions from classical computing through multiple essential characteristics. The basic information unit in classical computing exists as a bit ...

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 ...