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Category: computing

Elon Musk, the billionaire entrepreneur and founder of Space X, Tesla and Paypal, has told an interviewer there is only a “one in billions” chance that we’re not living in a computer simulation.

Speaking at San Francisco’s Code Conference this week, Musk said that he has had “so many simulation discussions it’s crazy”, and that it got to the point where “every conversation [he had] was the AI/simulation conversation”.

He also claimed that, if we’re not living in a simulation, we could be approaching the end of the world.

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Google is to trying to combine the Adiabatic Quantum computing AQC method with the digital approach’s error-correction capabilities.

The Google team uses a row of nine solid-state qubits, fashioned from cross-shaped films of aluminium about 400 micrometres from tip to tip. These are deposited onto a sapphire surface. The researchers cool the aluminium to 0.02 degrees kelvin, turning the metal into a superconductor with no electrical resistance. Information can then be encoded into the qubits in their superconducting state.

The interactions between neighboring qubits are controlled by ‘logic gates’ that steer the qubits digitally into a state that encodes the solution to a problem. As a demonstration, the researchers instructed their array to simulate a row of magnetic atoms with coupled spin states — a problem thoroughly explored in condensed-matter physics. They could then look at the qubits to determine the lowest-energy collective state of the spins that the atoms represented.

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Exponential Finance celebrates the incredible opportunity at the intersection of technology and finance. Watch live as hundreds of the world’s leading investors, entrepreneurs and innovators gather in New York to define the future of the way we do business.

In Bitcoin’s early years computer scientists and early adopters were running the show. Now, a new community of academics, entrepreneurs, and economists, are working with cryptocurrencies and blockchain to bring the technology to a new set of diverse applications.

From building peer-to-peer networks for secure data computation and storage to decentralized content management systems that give patients access to health-care records across hospital databases, blockchain and digital currencies are starting to rewrite the rules of the 21st century transaction.

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Who needs a hair artisian anymore while you a have a drone. What’s next? Makeup artists? Lookout Mary Kay.

What about movie/ video crew that’s all drones? The list goes on and on.

A popular robotics vlogger and a computer hacker pair up to give a mannequin a haircut with a drone. Is this the feel-good story of the summer?

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Machines running on human energy? Yes, it can happen, according to Dan Nicolau, Jr. from the Department of Integrative Biology at the University of California. Nicolau and his colleagues successfully completed a proof-of-concept study of a book-sized computer that runs on adenosine triphosphate (ATP), a biochemical that releases energy in cells and aids in energy transfer.

The study results published in the Proceedings of the National Academy of Sciences (PNAS), describe the combination of geometrical modeling and engineering as well as nanotechnology to create circuitry that uses 1.5 x 1.5 cm in area and the naturally occurring protein to operate.

A More Sustainable Option

Other than the mere presence of a human energy source in a machine, an astounding aspect of the device is how, as opposed to electrical energy that produces heat, the biological agent powering this new computer enables it to remain cool and energy efficient, making it more sustainable.

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The QUTIS research group (www.qutisgroup.com) of the University of the Basque Country (UPV/EHU) and Google’s quantum computation team have collaborated on a pioneering experiment that universally digitizes analogue quantum computation on a superconducting chip. This breakthrough was made at Google’s labs in Santa Barbara (California) and has been published in the prestigious journal Nature.

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Nice!

Scientists can now identify the exact location of a single atom in a silicon crystal, a discovery that is key for greater accuracy in tomorrow’s silicon based quantum computers.

It’s now possible to track and see individual phosphorus atoms in a silicon crystal allowing confirmation of quantum computing capability, but which also has use in nano detection devices.

Quantum computing has the potential for enormous processing power in the future. Current laptops have transistors that use a binary code, an on-or-off state (bits). But tomorrow’s quantum computers will use quantum bits ‘qubits’, which have multiple states.

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