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

A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language.

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 ...

We introduce a variational representation of quantum states based on artificial neural networks with a variable number of hidden neurons. A reinforcement-learning scheme we demonstrate is capable of ...

Combining quantum computing with neural networks could produce AI that can make very complex decisions quickly.

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 ...

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.

Over the past few months, the use of the Python programming language has increased greatly, at least among my colleagues who do data science and machine learning. I suspect this increase is due in ...