Quantum Computers Can Now Do Machine Learning - We Just Need To Build One That Works

IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don't have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum computers will be able to map data at a far more sophisticated level than any classical computer. Somewhat ironically, the testing was minimized based on the current hardware capabilities, using only two qubits of quantum computing capacity, which can be simulated on a classical computer.. There are no fully working quantum computers because qubits can't stay in an entangled state for more than a few hundred microseconds, even in carefully controlled laboratory conditions. They break down into decoherence and can no longer be used to perform calculations in parallel, the feature of quantum computing that will give it awesome processing power.