Moores’ Law, named after the founder of Intel chip maker, Gordon Moore, postulated that technology doubles about every year in capacity and speed. We now have wifi on aero-PLANES that can download to your computer. What do you think DARPA and Google and Amazon have been able to develop for the past 20 years…Answer, total electronic WIFI mind control technology where DWAVE computing stores all the algorithms and behaviors of us all. It then can wirelessly control all, since we are metallic loaded (from Geoengineering Smart Dust) antennas.
They are also able to touchlessly and electronically torture “Targeted Individuals” at will with this advanced AI technology and it will get worse for all if we don’t wake up to what is happening to our world by technocratic mind control of all.
D-Wave, which bills itself as the first commercial quantum computer company, has backers that include Amazon.com founder Jeff Bezos and the CIA’s investment arm In-Q-Tel (see “The CIA and Jeff Bezos Bet on Quantum Computing”). It sold its first quantum computing system, the 128-qubit D-Wave One, to the military contractor Lockheed Martin in 2011. Earlier this year it upgraded that machine to a 512-qubit D-Wave Two—reputedly for about $15 million, which might be roughly what the new Quantum Artificial Intelligence Lab paid for its device.
The collaboration between NASA, Google, and the Universities Space Research Association (USRA) aims to use its computer to advance machine learning, a branch of artificial intelligence devoted to developing computers that can improve with experience. Machine learning is a matter of optimizing behavior that may be easier for quantum computers than conventional machines.
For instance, imagine trying to find the lowest point on a surface covered in hills and valleys. A classical computer might start at a random spot on the surface and look around for a lower spot to explore until it cannot walk downhill anymore. This approach can often get stuck in a local minimum, a valley that is not actually the very lowest point on the surface. On the other hand, quantum computing could make it possible to tunnel through a ridge to see if there is a lower valley beyond it.
“Looks like win-win-win to me—Google, NASA, and USRA bring unique skills and an interest in novel applications to the field,” says Seth Lloyd, a quantum-mechanical engineer at MIT. “In my opinion, the focus on factoring and code-breaking for quantum computers has overemphasized the quest for constructing a large-scale quantum computer, while slighting other potentially more useful and equally interesting applications. Quantum machine learning is an example of a smaller-scale application of quantum computing.”