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Category: computing – Page 811

Australian physicists’ team has developed a new research assistant to carry out experiments in quantum mechanics in an artificial intelligence (AI) algorithm form, which quickly took control of the experiment, learned the job tasks and even innovated. In a statement, co-lead researcher Paul Wigley from the Australian National University (ANU) Research School of Physics and Engineering, said he didn’t expect that the machine would be able to conduct the experiment itself from scratch within an hour.

He added that in case a simple computer program had been used, it would have taken much more time than the age of the universe to go through all the combinations and work on it.

Scientists were looking forward to reconstruct an experiment that was awarded the 2001 Nobel Prize in Physics, which included very cold gas trapped in a laser beam called a Bose-Einstein condensate.

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US Navy paying D-Wave to train them on QC.

A division of the U.S. Navy intends to pay Canadian company D-Wave $11 million to learn how to use its quantum computing infrastructure, according to a federal filing posted online on Monday.

The unit seeking this training is the Navy’s Space and Naval Warfare Systems Center Pacific, known as SPAWAR or SSC-PAC for short, which is headquartered in San Diego and has previously researched amphibious throwable robots, unmanned aerial vehicles, virtual reality, and many other technologies. The filing does not actually cover the cost of quantum computing hardware. But NASA has been allowing SPAWAR scientists to learn how to use the D-Wave machine that it operates with Google at the NASA Ames Research Center, the San Diego Union-Tribune reported last month.

Quantum computers employ quantum bits, or qubits, each of which can be zero or one or both, unlike the regular bits in classical computers. The superposition of qubits lets machines perform great numbers of computations at once, making a quantum computer highly desirable for certain types of processes. Google recently found that quantum annealing with D-Wave hardware is 100 times faster than simulated annealing on a classic computer chip.

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About ten years ago scientist Dave Bacon, now at Google, presented that a time-travelling quantum computer could rapidly solve a bunch of problems, known as NP-complete, which mathematicians have lumped together as being hard. The problem was, Bacon’s quantum computer was travelling around ‘closed timelike curves’. These are paths through the fabric of spacetime that loop back on themselves. General relativity lets such paths to exist through contortions in spacetime identified as wormholes.

Why send a message back in time, but lock it so that no one can ever read the contents? As it may be the key to resolving presently intractable problems. That’s the claim of an international collaboration.

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A tool able to generate remote forces would allow us to handle dangerous or fragile materials without contact or occlusions. Acoustic levitation is a suitable technology since it can trap particles in air or water. However, no approach has tried to endow humans with an intertwined way of controlling it. Previously, the acoustic elements were static, had to surround the particles and only translation was possible. Here, we present the basic manoeuvres that can be performed when levitators are attached to our moving hands. A Gauntlet of Levitation and a Sonic Screwdriver are presented with their manoeuvres for capturing, moving, transferring and combining particles. Manoeuvres can be performed manually or assisted by a computer for repeating patterns, stabilization and enhanced accuracy or speed. The presented prototypes still have limited forces but symbolize a milestone in our expectations of future technology.

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WEST LAFAYETTE, Ind. – A new highly efficient power amplifier for electronics could help make possible next-generation cell phones, low-cost collision-avoidance radar for cars and lightweight microsatellites for communications.

Fifth-generation, or 5G, mobile devices expected around 2019 will require improved power amplifiers operating at very high frequencies. The new phones will be designed to download and transmit data and videos faster than today’s phones, provide better coverage, consume less power and meet the needs of an emerging “Internet of things” in which everyday objects have network connectivity, allowing them to send and receive data.

Power amplifiers are needed to transmit signals. Because today’s cell phone amplifiers are made of gallium arsenide, they cannot be integrated into the phone’s silicon-based technology, called complementary metal-oxide-semiconductor (CMOS). The new amplifier design is CMOS-based, meaning it could allow researchers to integrate the power amplifier with the phone’s electronic chip, reducing manufacturing costs and power consumption while boosting performance.

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Theoretical chemists at Princeton University have pioneered a strategy for modeling quantum friction, or how a particle’s environment drags on it, a vexing problem in quantum mechanics since the birth of the field. The study was published in the Journal of Physical Chemistry Letters (“Wigner–Lindblad Equations for Quantum Friction”). “It was truly a most challenging research project in terms of technical details and the need to draw upon new ideas,” said Denys Bondar, a research scholar in the Rabitz lab and corresponding author on the work.

Researchers construct a quantum counterpart of classical friction, a velocity-dependent force acting against the direction of motion

Researchers construct a quantum counterpart of classical friction, a velocity-dependent force acting against the direction of motion. In particular, a translationary invariant Lindblad equation is derived satisfying the appropriate dynamical relations for the coordinate and momentum (i.e., the Ehrenfest equations). Numerical simulations establish that the model approximately equilibrates. (© ACS)

Quantum friction may operate at the smallest scale, but its consequences can be observed in everyday life. For example, when fluorescent molecules are excited by light, it’s because of quantum friction that the atoms are returned to rest, releasing photons that we see as fluorescence. Realistically modeling this phenomenon has stumped scientists for almost a century and recently has gained even more attention due to its relevance to quantum computing.

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For the first time, scientists at IBM Research have demonstrated reliably storing 3 bits of data per cell using a relatively new memory technology known as phase-change memory (PCM).

The current landscape spans from venerable DRAM to hard disk drives to ubiquitous flash. But in the last several years PCM has attracted the industry’s attention as a potential universal memory technology based on its combination of read/write speed, endurance, non-volatility and density. For example, PCM doesn’t lose data when powered off, unlike DRAM, and the technology can endure at least 10 million write cycles, compared to an average flash USB stick, which tops out at 3,000 write cycles.

This research breakthrough provides fast and easy storage to capture the exponential growth of data from mobile devices and the Internet of Things.

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Michio Kaku and Ray Kurzweil explains the exponential rate at which Technological Singularity is approaching and the future is far near than we can Imagine!

2029 : Singularity Year — Neil deGrasse Tyson & Ray Kurzweil — https://www.youtube.com/watch?v=EyFYFjESkWU

Life Changing Future Technologies [Full Documentary] : https://www.youtube.com/watch?v=TRSlkx5qaSk

The technological singularity is a hypothetical event in which artificial general intelligence (constituting, for example, intelligent computers, computer networks, or robots) would be capable of recursive self-improvement (progressively redesigning itself), or of autonomously building ever smarter and more powerful machines than itself, up to the point of a runaway effect—an intelligence explosion—that yields an intelligence surpassing all current human control or understanding. Because the capabilities of such a superintelligence may be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence.

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This post is a status update on one of the most powerful tools humanity will ever create: nanotechnology (or nanotech).

My goal here is to give you a quick overview of the work going on in labs around the world, and the potential applications this nanotech work will have in health, energy, the environment, materials science, data storage and processing.

As artificial intelligence has been getting a lot of the attention lately, I believe we’re going to start to see and hear about incredible breakthroughs in the nanotech world very soon.

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