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Page 8


www.us- tech.com Continued from page 1


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encoded onto radio waves for trans- mission. The atoms respond to these radio waves, and in turn, the laser beams shined through the Rydberg atoms are affected. These changes are picked up on a photodetector, which feeds an electric signal into the speaker or computer — and voila! The atomic radio was born. The team used their quantum


system to pick up stereo — with one atomic species recording the instru- mental and another the vocal at two different sets of laser frequencies. They selected a Queen track, “Under Pressure,” to test if their system could handle Freddie Mercury’s ex- tensive vocal range. “One of the reasons for cutting


July, 2019 Quantum Music to My Ears


stereo was to show that this one re- ceiver can pick up two channels si- multaneously, which is diffcult with conventional receivers,” says Hol- loway, who explained that although it is the early days for atomic com- munications, there is potential to use this to improve the security of com- munications. For now, Holloway and his team


are staying tuned into atomic radio as they try to determine how weak a signal the Rydberg atoms can detect, and what data transfer speeds can be achieved. They are not forgetting the


atomic record they want to produce, with which they hope to inspire the next generation of quantum scien- tists. Web: www.aip.org r


“Holy Grail” of Universal Memory


Continued from page 1


which has preoccupied scientists and engineers for decades. Physics pro- fessor Manus Hayne of Lancaster University says, “Universal memory, which has robustly stored data that is easily changed, is widely consid- ered to be unfeasible, or even impos- sible, but this device demonstrates its contradictory properties.” A U.S. patent has been awarded


for the electronic memory device with another patent pending, while several companies have expressed in- terest or are actively involved in the research. The inventors of the device used quantum mechanics to solve the dilemma of choosing between stable, long-term data storage and low-ener- gy writing and erasing. The device could replace the


$100 billion market for dynamic ran- dom access memory (DRAM), which is the “working memory” of comput- ers, as well as the long-term memory in flash drives. While writing data to DRAM is


fast and low-energy the data is volatile and must be continuously re- freshed to avoid it being lost. This is clearly inconvenient and inefficient.


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Flash stores data robustly, but writ- ing and erasing is slow, energy-in- tensive and deteriorates it, making it unsuitable for working memory.


This new memory device would allow computers that do not


need to boot up and even enter energy-saving sleep mode be- tween keystrokes.


“The ideal is to combine the ad-


vantages of both, without their draw- backs, and this is what we have demonstrated. Our device has an in- trinsic data storage time that is pre- dicted to exceed the age of the uni- verse, yet it can record or delete data using 100 times less energy than DRAM,” says Hayne. Web: www.lancs.ac.uk r


Noninvasive Mind Controlled Robotics


Continued from page 6


neering at Carnegie Mellon Universi- ty, is achieving that goal, one key dis- covery at a time. Using novel sensing and machine learning techniques, He and his lab have been able to access signals deep within the brain, achieving a high resolution of control over a robotic arm. With noninvasive neuroimaging and a novel continu- ous pursuit paradigm, He is over- coming the noisy EEG signals lead- ing to significantly improved EEG- based neural decoding, and facilitat- ing real-time continuous 2D robotic device control. Using a noninvasive BCI to con-


trol a robotic arm tracking a cursor on a computer screen, for the first time ever, He has shown in human subjects that a robotic arm can now follow the cursor continuously. Whereas robotic arms controlled by humans noninvasively had previous- ly followed a moving cursor in jerky,


discrete motions — as though the ro- botic arm was trying to “catch up” to the brain’s commands — now, the arm follows the cursor in a smooth, continuous path. In a paper published in Science


Robotics, the team established a new framework that addresses and im- proves upon the “brain” and “comput- er” components of BCI by increasing user engagement and training, as well as spatial resolution of noninva- sive neural data through EEG source imaging. The paper, “Noninvasive Neu-


roimaging Enhances Continuous Neural Tracking for Robotic Device Control,” shows that the team’s unique approach to solving this prob- lem not only enhanced BCI learning by nearly 60 percent for traditional center-out tasks, it also enhanced continuous tracking of a computer cursor by over 500 percent. Web: http://engineering.cmu.edu r


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