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. One ...

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 University ...

Studies of quantum computing and its overlap with photonics have gathered pace in recent years, with groups such as the Danish PhotoQ consortium investigating the development of photonic quantum ...

It's become increasingly clear that quantum computers won't have a single moment when they become clearly superior to classical hardware. Instead, we're likely to see them becoming useful for a narrow ...

The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the exponential complexity of the many-body wave ...

It's notoriously difficult to make sense of Quantum mechanics, and it's equally difficult to calculate the behavior of many quantum systems. That's due in part to the description of a quantum system ...

Michael Hartmann is currently a visiting faculty researcher at Google AI Quantum. The human brain has amazing capabilities making it in many ways more powerful than the world’s most advanced computers ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...