Lifeboat Foundation

This tech might be able to recreate your consciousness in a computer. The only catch? You have to die.

Stealth technology may not be very stealthy in the future thanks to a US$2.7-million project by the Canadian Department of National Defence to develop a new quantum radar system. The project, led by Jonathan Baugh at the University of Waterloo’s Institute for Quantum Computing (IQC), uses the phenomenon of quantum entanglement to eliminate heavy background noise, thereby defeating stealth anti-radar technologies to detect incoming aircraft and missiles with much greater accuracy.

Ever since the development of modern camouflage during the First World War, the military forces of major powers have been in a continual arms race between more advanced sensors and more effective stealth technologies. Using composite materials, novel geometries that limit microwave reflections, and special radar-absorbing paints, modern stealth aircraft have been able to reduce their radar profiles to that of a small bird – if they can be seen at all.

News Brief: Researchers have created a miniaturized device that can transform electronic signals into optical signals with low signal loss. They say the electro-optic modulator could make it easier to merge electronic and photonic circuitry on a single chip. The hybrid technology behind the modulator, known as plasmonics, promises to rev up data processing speeds. “As with earlier advances in information technology, this can dramatically impact the way we live,” Larry Dalton, a chemistry professor emeritus at the University of Washington, said in a news release. Dalton is part of the team that reported the advance today in the journal Nature.

A new microchip technology capable of optically transferring data could solve a severe bottleneck in current devices by speeding data transfer and reducing energy consumption by orders of magnitude, according to an article published in the April 19, 2018 issue of Nature.

Researchers from Boston University, Massachusetts Institute of Technology, the University of California Berkeley and University of Colorado Boulder have developed a method to fabricate silicon chips that can communicate with light and are no more expensive than current chip technology. The result is the culmination of a several-year-long project funded by the Defense Advanced Research Project Agency that was a close collaboration between teams led by Associate Professor Vladimir Stojanovic of UC Berkeley, Professor Rajeev Ram of MIT, and Assistant Professor Milos Popovic from Boston University and previously CU Boulder. They collaborated with a semiconductor manufacturing research team at the Colleges of Nanoscale Science and Engineering (CNSE) of the State University of New York at Albany.

The electrical signaling bottleneck between current microelectronic chips has left light communication as one of the only options left for further technological progress. The traditional method of data transfer-electrical wires-has a limit on how fast and how far it can transfer data. It also uses a lot of power and generates heat. With the relentless demand for higher performance and lower power in electronics, these limits have been reached. But with this new development, that bottleneck can be solved.

Continue reading “Researchers illuminate the path to a new era of microelectronics” »

The breakthrough could revolutionise the future of quantum computing.

Science.

Quantum computing is promising to be one of the biggest technological revolutions of the modern era.

By harnessing the power of quantum mechanics, machines will be able to achieve data processing of speed and complexity unattainable with current computers. Traditional computers are based on a binary model on a system of switches that can be either on or off, represented with a 1 or a 0.

Quantum computers are different in that their switches can be in both the on and off positions at the same time, called ‘superpositions.’ This ability to be in two simultaneous states is what makes quantum computers faster. Much faster.

Continue reading “How quantum computing could wreak havoc on cryptocurrency” »

Take a microscopic look at the world’s tiniest computer, which is smaller than a grain of salt. (via Seeker)

It may sound like a futuristic device out of a spy novel, a computer the size of a pinhead, but according to new research from the University of New Hampshire, it might be a reality sooner than once thought. Researchers have discovered that using an easily made combination of materials might be the way to offer a more stable environment for smaller and safer data storage, ultimately leading to miniature computers.

“We’re really optimistic about the possibilities,” said Jiadong Zang, assistant professor of physics. “There is a push in the computer industry toward smaller and more powerful storage, yet current combinations of materials can create volatile situations, where data can be lost once the device is turned off. Our research points to this new combination as a much safer option. We’re excited that our findings might have the potential to change the landscape of information technology.”

In their study, recently published in the journal Science Advances, the researchers outline their proposed combination which would allow for a more stable perpendicular anisotropic energy (PMA), the key driving component in a computer’s RAM (random-access memory) or data storage. The material would be made up of ultrathin films, known as Fe monolayers, grown on top of non-magnetic substances, in this case X nitride substrate, where X could be boron, gallium, aluminum or indium. According to the research, this combination showed anisotropic energy would increase by fifty times, from 1 meV to 50 meV, allowing for larger amounts of data to be stored in smaller environments. There is a provisional patent pending which has been filed by UNHInnovation, which advocates for, manages, and promotes UNH’s intellectual property.

For the first time, we’ve made a molecule by pressing two atoms together to make them bond on command. This could help build better qubits for quantum computers.