Authors: George Rajna
Researchers at ETH Zurich have now come up with a concrete example that demonstrates what quantum computers will actually be able to achieve in the future.  While breakthroughs in quantum computing technology seem to be in tech news every day, very little is said about the actual applications of the super fast computers of the future.  Deep learning and machine learning both offer ways to train models and classify data. This article compares the two and it offers ways to help you decide which one to use.  Physicists have shown that quantum effects have the potential to significantly improve a variety of interactive learning tasks in machine learning.  A Chinese team of physicists have trained a quantum computer to recognise handwritten characters, the first demonstration of " quantum artificial intelligence ". Physicists have long claimed that quantum computers have the potential to dramatically outperform the most powerful conventional processors. The secret sauce at work here is the strange quantum phenomenon of superposition, where a quantum object can exist in two states at the same time.  One of biology's biggest mysteries-how a sliced up flatworm can regenerate into new organisms-has been solved independently by a computer. The discovery marks the first time that a computer has come up with a new scientific theory without direct human help.  A team of researchers working at the University of California (and one from Stony Brook University) has for the first time created a neural-network chip that was built using just memristors. In their paper published in the journal Nature, the team describes how they built their chip and what capabilities it has.  A team of researchers used a promising new material to build more functional memristors, bringing us closer to brain-like computing. Both academic and industrial laboratories are working to develop computers that operate more like the human brain. Instead of operating like a conventional, digital system, these new devices could potentially function more like a network of neurons. 
Comments: 30 Pages.
[v1] 2017-07-31 06:51:38
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