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A new approach to a once-farfetched theory is making it plausible that the brain functions like a quantum computer.

The mere mention of “quantum consciousness” makes most physicists cringe, as the phrase seems to evoke the vague, insipid musings of a New Age guru. But if a new hypothesis proves to be correct, quantum effects might indeed play some role in human cognition. Matthew Fisher, a physicist at the University of California, Santa Barbara, raised eyebrows late last year when he published a paper in Annals of Physics proposing that the nuclear spins of phosphorus atoms could serve as rudimentary “qubits” in the brain—which would essentially enable the brain to function like a quantum computer.

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Congrats geordie rose and jeremy hilton ; d-wave ROCKS!

News posting on T-Net)


Burnaby, BC, November 4, 2016—(T-Net)—D-Wave Systems Inc., the world’s first quantum computing company, announced the promotion of Jeremy Hilton to senior vice president, systems, with responsibility for driving the company’s quantum processor and systems research and engineering functions.

Hilton, who was previously the vice president of processor development, joined D-Wave in 2000, and has been instrumental in developing the world’s first scalable quantum processors. Hilton also led the development of D-Wave’s superconducting integrated circuit foundry. He is a named inventor on 34 granted U.S. patents.

“Jeremy has almost two decades of experience developing the most advanced scalable quantum computing systems in the world. We’re lucky to have him on the team,” said CEO Vern Brownell.

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2 key areas to never lose focus on when it comes to NextGen tech — Biocomputing and QC. I also would add that what we have been seeing in crystalized formations found synthetic diamonds and other structures is a core piece as well.


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Atoms, photons, and other quantum particles are often capricious and finicky by nature; very rarely at a standstill, they often collide with others of their kind. But if such particles can be individually corralled and controlled in large numbers, they may be harnessed as quantum bits, or qubits — tiny units of information whose state or orientation can be used to carry out calculations at rates significantly faster than today’s semiconductor-based computer chips.

In recent years, scientists have come up with ways to isolate and manipulate individual quantum particles. But such techniques have been difficult to scale up, and the lack of a reliable way to manipulate large numbers of atoms remains a significant roadblock toward quantum computing.

Now, scientists from Harvard and MIT have found a way around this challenge. In a paper published in the journal Science, the researchers report on a new method that enables them to use lasers as optical “tweezers” to pick individual atoms out from a cloud and hold them in place. As the atoms are “trapped,” the scientists use a camera to create images of the atoms and their locations. Based on these images, they then manipulate the angle of the laser beams, to move individual atoms into any number of different configurations.

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In a study led by the University of Leeds, scientists have solved one of the most challenging and long-standing problems in atmospheric science: to understand how particles are formed in the atmosphere.

The research paper, published online today in the journal Science, details the first computer simulation of atmospheric particle formation that is based entirely on experimental data. The research was made possible thanks to a sophisticated laboratory called CLOUD, based within the research facility CERN in Switzerland.

The lead scientist on the study, Professor Ken Carslaw from the School of Earth and Environment at the University of Leeds said: “This is a major milestone in our understanding of the . The CERN experiment is unique, and it has produced data that seemed completely out of reach just five years ago.”

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A revolutionary and emerging class of energy-harvesting computer systems require neither a battery nor a power outlet to operate, instead operating by harvesting energy from their environment. While radio waves, solar energy, heat, and vibrations have the ability to power devices, harvested energy sources are weak leading to an “intermittent execution”, with periodic power failures and unreliable behavior.

Brandon Lucia, an assistant professor of electrical and computer engineering at Carnegie Mellon University, and his Ph.D. student Alexei Colin created the first designed to build reliable software for intermittent, energy-harvesting computers. Colin will present the work at the 2016 SPLASH conference in Amsterdam, Netherlands, on November 3rd.

“Energy is not always available in the environment for a device to harvest,” explains Lucia. “Intermittent operation makes it difficult to build applications because existing software programming languages—and programmers themselves—assume that energy is a continuously available resource.”

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Scientists may have made a significant breakthrough in restoring human sight, as a woman who had been blind for seven years has regained the ability to see shapes and colours with a bionic eye implant.

The 30-year-old woman had a wireless visual stimulator chip inserted into her brain by University of California, Los Angeles (UCLA) surgeons in the first human test of the product. As a result, she could see colored flashes, lines, and spots when signals were sent to her brain from a computer.

The woman, who wished to remain anonymous, suffered no significant adverse side effects in the process, according to a statement.

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Computronium is defined by some as a substance which approaches the theoretical limit of computational power that we can achieve through engineering of the matter around us. It would mean that every atom of a piece of matter would be put to useful work doing computation. Such a system would reside at the ultimate limits of efficiency, and the smallest amount of energy possible would be wasted through the generation of heat. Computronium crops up in science fiction a lot, usually as something that advanced civilizations have created, occasionally causing conflicts due to intensive harvesting of matter from their galaxy to further their processing power. The idea is also also linked with advanced machine intelligence: A block of matter which does nothing other than compute could presumably would be incredibly sought after by any artificial intelligence looking to get the most compact and powerful brain for its money!

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Biologists at Caltech have developed a new system for visualizing connections between individual cells in fly brains. The finding may ultimately lead to “wiring diagrams” of fly and other animal brains, which would help researchers understand how neurons are connected.

“To understand how the brain works we need to know how neurons are wired to each other,” says Carlos Lois, research professor in the Division of Biology and Biological Engineering at Caltech and principal investigator of the new research, which appears in the November issue of the journal Development. “This is similar to understanding how a computer works by looking at how transistors are connected.”

Animals are made up of different types of specialized cells. In order for an animal to function, the cells have to be able to communicate with each other. For example, neurons directly communicate with so that an animal can move. In diseases such as cancer, this communication process can go awry: when tumors metastasize, they no longer “listen” to neighboring cells that tell them not to grow. Instead, the grow uncontrollably and migrate to other parts of the body.

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