Lifeboat Foundation

Quantum computing remains mysterious and elusive to many, but USC Viterbi School of Engineering researchers might have taken us one step closer to bring such super-powered devices to practical reality. The USC Viterbi School of Engineering and Information Sciences Institute is home to the USC-Lockheed Martin Quantum Computing Center (QCC), a super-cooled, magnetically shielded facility specially built to house the first commercially available quantum optimization processors — devices so advanced that there are currently only two in use outside the Canadian company D-Wave Systems Inc., where they were built: The first one went to USC and Lockheed Martin, and the second to NASA and Google.

Quantum computers encode data in quantum bits, or “qubits,” which have the capability of representing the two digits of one and zero at the same time — as opposed to traditional bits, which can encode distinctly either a one or a zero. This property, called superposition, along with the ability of quantum states to “interfere” (cancel or reinforce each other like waves in a pond) and “tunnel” through energy barriers, is what may one day allow quantum processors to ultimately perform optimization calculations much faster than is possible using traditional processors. Optimization problems can take many forms, and quantum processors have been theorized to be useful for a variety of machine learning and big data problems like stock portfolio optimization, image recognition and classification, and detecting anomalies. Yet, exactly because of the exotic way in which quantum computers process information, they are highly sensitive to errors of different kinds.

Consider the paradox of the modern business office: It’s a place of productivity where busy people meet deadlines, yet it’s teeming with distractions.

Companies are loading up on game rooms and snack bars, while 70 percent of American offices have adopted an open-office floor plan. The hope for open offices was to encourage random hallway banter, which can lead to innovation, but it’s not working out so great. Turns out privacy is a necessary condition for supporting productive people.

To end the oppression of open offices, several startups are building workstations of the future: software that pulls everything we normally do on a computer inside of virtual reality (VR). After all, what’s more private than a VR display around your head?

Continue reading “I Worked in a VR Office, and It Was Actually Awesome” »

The benefits of the technology for humans, while still largely hypothetical, are promising. The sensors could allow physicians to monitor the health of organs, create new therapies for neurological disorders, and help the physically impaired to control prosthetics.

While chips have been implanted in humans and other animals before, these sensors mark a significant improvement because they are small, wireless, batteryless, and could last in the body for years without degrading, said Michel Maharbiz, the associate professor who devised and studied the sensors alongside neuroscientist Jose Carmena.

“Hopefully the [tiny sensors] demonstrate a new direction for the field, and then you could build the consensus that’s needed to drive these forward,” Maharbiz said.

Continue reading “Engineers implanted tiny sensors in rats’ nerves and muscles. Are humans next?” »

Magine a future in which hyper-efficient solar panels provide renewable sources of energy, improved water filters quickly remove toxins from drinking water, and the air is scrubbed clean of pollution and greenhouse gases. That could become a reality with the right molecules and materials.

Scientists from Harvard and Google have taken a major step toward making the search for those molecules easier, demonstrating for the first time that a quantum computer could be used to model the electron interactions in a complex molecule. The work is described in a new paper published in the journal Physical Review X by Professor Alán Aspuru-Guzik from the Department of Chemistry and Chemical Biology and several co-authors.

“There are a number of applications that a quantum computer would be useful for: cryptography, machine learning, and certain number-theory problems,” Aspuru-Guzik said. “But one that has always been mentioned, even from the first conceptions of a quantum computer, was to use it to simulate matter. In this case, we use it to simulate chemistry.”

Smaller than a dime and with no moving parts, MIT’s lidar-on-a-chip is exactly what cars and robots need.

The ultimate test of wits in computer security occurs through open competition on the global Capture the Flag (CTF) tournament circuit. In CTF contests, experts reverse engineer software, probe its weaknesses, search for deeply hidden flaws, and create securely patched replacements.

On August 4, 2016, DARPA will hold the Cyber Grand Challenge, the world’s first all-computer CTF tournament. It will take place live on stage co-located with the DEF CON conference in Las Vegas. The public is invited to attend and observe as automated systems take the first steps towards a defensible, connected future.

Continue reading “Welcome to DARPA’s Cyber Grand Challenge” »

Wonder if they’ll come to the Met in NY, or the Hollywood Bowl in CA.

A Welsh mezzo-soprano in England recently performed a real-time duet with a quantum computer. Here’s how it sounded.

This is a huge breakthrough for quantum computing.

MIT engineers have developed a microfluidic device that replicates the neuromuscular junction—the vital connection where nerve meets muscle. The device, about the size of a U.S. quarter, contains a single muscle strip and a small set of motor neurons. Researchers can influence and observe the interactions between the two, within a realistic, three-dimensional matrix.

The researchers genetically modified the neurons in the device to respond to light. By shining light directly on the neurons, they can precisely stimulate these cells, which in turn send signals to excite the muscle fiber. The researchers also measured the force the muscle exerts within the device as it twitches or contracts in response.

The team’s results, published online today in Science Advances, may help scientists understand and identify drugs to treat amyotrophic lateral sclerosis (ALS), more commonly known as Lou Gehrig’s disease, as well as other neuromuscular-related conditions.

Continue reading “New microfluidic chip replicates muscle-nerve connection” »