As I and others have warned industry about for a ling while now. Wait until you see the AI experience on QC and how we enable synthetic biocomputing on this connected infrastructure.
Next year, we may see the launch of the first true quantum computers.
Continue reading “Massive Disruption Is Coming With Quantum Computing” »
The world of quantum computing is a minefield. The more scientists think they know about it, the more they realize there’s so much more to learn. But, with thanks to physicists in a laboratory in Canberra, we are that one step closer to seeing a real life working quantum computer as they managed to freeze light in a cloud of atoms. This was achieved by using a vaporized cloud of ultracold rubidium atoms to create a light trap into which infrared lasers were shone. The light was then constantly emitted and re-captured by the newly formed light trap.
https://youtube.com/watch?v=Nj-lu-r3qtY
Do you remember taking your pulse on your wrist? Go ahead and place your fingers on the spot that you remember. Don’t think about it. Just do it. Now don’t move just keep it there. Did you find your pulse?
The mandela effect and d-wave quantum computers | nanalyze.
Continue reading “The Mandela Effect and D-Wave Quantum Computers” »
Here’s why quantum computing represents the future for investment managers, analysts and traders on the buy-side and the sell-side.
http://news.efinancialcareers.com/us-en/245138/pit-traders/
The unparalleled possibilities of quantum computers are currently still limited because information exchange between the bits in such computers is difficult, especially over larger distances. FOM workgroup leader Lieven Vandersypen and his colleagues within the QuTech research centre and the Kavli Institute for Nanosciences (Delft University of Technology) have succeeded for the first time in enabling two non-neighbouring quantum bits in the form of electron spins in semiconductors to communicate with each other. They publish their research on 10 October in Nature Nanotechnology.
Information exchange is something that we scarcely think about these days. People constantly communicate via e-mails, mobile messaging applications and phone calls. Technically, it is the bits in those various devices that talk to each other. “For a normal computer, this poses absolutely no problem,” says professor Lieven Vandersypen. “However, for the quantum computer – which is potentially much faster than the current computers – that information exchange between quantum bits is very complex, especially over long distances.”
Mediating with quantum dots Artist impression of two electron spins that talk to each other via a ‘quantum mediator’. The two electrons are each trapped in a semiconductor nanostructure (quantum dot). The two spins interact, and this interaction is mediated by a third, empty quantum dot in the middle. In the future, coupling over larger distances can be achieved using other objects in between to mediate the interaction. This will allow researchers to create two-dimensional networks of coupled spins, that act as quantum bits in a future quantum computer. Copyright: Tremani/TU Delft.
Continue reading “Electron spins talk to each other via a ‘quantum mediator’” »
Researchers at the University of Melbourne have developed a way to radically miniaturise a Magnetic Resonance Imaging (MRI) machine using atomic-scale quantum computer technology.
Capable of imaging the structure of a single bio-molecule, the new system would overcome significant technological challenges and provide an important new tool for biotechnology and drug discovery.
The work was published today in Nature Communications, and was led by Prof Lloyd Hollenberg at the University of Melbourne, working closely with researchers at the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T) to design the quantum molecular microscope.
For the first time, a new tool developed at the Department of Energy’s (DOE’s) Lawrence Berkeley National Laboratory (Berkeley Lab) allows researchers to interactively explore the hierarchical processes that happen in the brain when it is resting or performing tasks. Scientists also hope that the tool can shed some light on how neurological diseases like Alzheimer’s spread throughout the brain.
Created in conjunction with computer scientists at University of California, Davis (UC Davis) and with input from neuroscientists at UC San Francisco (UCSF), the software, called Brain Modulyzer, combines multiple coordinated views of functional magnetic resonance imaging (fMRI) data — like heat maps, node link diagrams and anatomical views — to provide context for brain connectivity data.
“The tool provides a novel framework of visualization and new interaction techniques that explore the brain connectivity at various hierarchical levels. This method allows researchers to explore multipart observations that have not been looked at before,” says Sugeerth Murugesan, who co-led the development of Brain Modulyzer. He is currently a graduate student researcher at Berkeley Lab and a PhD candidate at UC Davis.
Researchers at Sapience.org foresee market instability intensifying by the computer trading ‘arms race’
FOR IMMEDIATE RELEASE
Last Friday the sterling has experienced a dramatic, ultrafast crash. It lost 10% of its value in minutes after the Asian markets opened — a decline usually reserved to declarations of war, major earthquakes and global catastrophes — and bounced right back. Although the affected exchanges are yet to release the details, computer trading algorithms almost certainly played a key role. Just like the 2010 Flash Crash, yesterday’s event is characteristic to Ultrafast Extreme Events[1]: split-second spikes in trade caused by ever smarter algorithms razor-focused on making ever-quicker profits. But the arms race is only likely to intensify as computing speed accelerates and AI algorithms become more intelligent.
