IBM claims a quantum leap in machine learning - SiliconANGLE

IBM Corp. researchers reckon they've come up with new algorithms capable of enabling advanced machine learning on quantum computers. In a paper published today on arXiv, a repository for non-peer-reviewed academic papers, IBM's research team describes how it has created a "quantum algorithm" that enables such computers to perform "feature mapping" at a scale that goes far beyond what classical computers can do. Quantum computing takes advantage of the strange ability of subatomic particles to exist in more than one state at any time. Thanks to the way the tiniest of particles behave, operations can be done much more quickly and use less energy than classical computers. In classical computing, a bit is a single piece of information that can exist in two states – 1 or 0. But quantum computing uses quantum bits, or "qubits," that can store much more information than just 1 or 0, because they can exist in any superposition of these values.