Lifeboat Foundation

Determining the quantum mechanical behavior of many interacting particles is essential to solving important problems in a variety of scientific fields, including physics, chemistry and mathematics. For instance, in order to describe the electronic structure of materials and molecules, researchers first need to find the ground, excited and thermal states of the Born-Oppenheimer Hamiltonian approximation. In quantum chemistry, the Born-Oppenheimer approximation is the assumption that electronic and nuclear motions in molecules can be separated.

A variety of other scientific problems also require the accurate computation of Hamiltonian ground, excited and thermal states on a quantum computer. An important example are combinatorial optimization problems, which can be reduced to finding the ground state of suitable spin systems.

So far, techniques for computing Hamiltonian eigenstates on quantum computers have been primarily based on phase estimation or variational algorithms, which are designed to approximate the lowest energy eigenstate (i.e., ground state) and a number of excited states. Unfortunately, these techniques can have significant disadvantages, which make them impracticable for solving many scientific problems.

A team at Samsung Advanced Institute of Technology has announced that they have improved quantum dot (QD) technology for use in large displays by developing QDs that are both more efficient and have no heavy metals. In their paper published in the journal Nature, the group describes their work and their plans for the future. Alexander Efros, with the Naval Research Laboratory, in Washington D.C. has published a companion piece in the same journal issue outlining the work by the team at Samsung.

Quantum dots are nanoscale semiconducting crystals that have unique optical and electronic properties due to quirks of quantum mechanics. Since their development in the 1980s, scientists have been finding many uses for them in optical devices. Unfortunately, as Efros notes, they suffer from two problems that have prevented them from being fully utilized. The first is that they are based on cadmium, a toxic heavy metal. The second is the QD phosphors that are used in display devices—they are not self- emissive, which means they need to be replaced by QD light-emitting diodes in order for them to be competitively efficient. Notably current Samsung QLED TV screens do not use the QLEDs as a source of light—instead, LCDs produce backlight which is then absorbed by a film of quantum dots. In this new effort, the group at Samsung has made progress towards addressing both problems.

The first ever integrated nanoscale device which can be programmed with either photons or electrons has been developed by scientists in Harish Bhaskaran’s Advanced Nanoscale Engineering research group at the University of Oxford.

In collaboration with researchers at the universities of Münster and Exeter, scientists have created a first-of-a-kind electro–optical device which bridges the fields of optical and electronic computing. This provides an elegant solution to achieving faster and more energy efficient memories and processors.

Computing at the speed of light has been an enticing but elusive prospect, but with this development it’s now in tangible proximity. Using light to encode as well as transfer information enables these processes to occur at the ultimate speed limit—that of light. While as of recently, using light for certain processes has been experimentally demonstrated, a compact device to interface with the electronic architecture of traditional computers has been lacking. The incompatibility of electrical and light-based computing fundamentally stems from the different interaction volumes that electrons and photons operate in. Electrical chips need to be small to operate efficiently, whereas optical chips need to be large, as the wavelength of light is larger than that of electrons.

Their unique blend of electric and magnetic properties was long thought impossible. Now multiferroics are shaking up fields from dark matter hunting to finding cancer.

Su is laser-focused on where she wants to take AMD by 2025 when she will reach her 10th year as CEO. “What I like to always say is that the best is yet to come,” she says, beaming. “Our goal is to really push the envelope.”

Watch the video above for more from my interview with Su.

AMD is on a roll with its high tech chips powering PCs, data centers and gaming consoles, and the stock surging 80 percent in 2019.

A pair of physicists from Immanuel Kant Baltic Federal University (IKBFU) in Russia recently proposed an entirely new view of the cosmos. Their research takes the wacky idea that we’re living in a computer simulation and mashes it up with the mind-boggling “many worlds” theory to say that, essentially, our entire universe is part of an immeasurably large quantum system spanning “uncountable” multiverses.

When you think about quantum systems, like IBM and Google’s quantum computers, we usually imagine a device that’s designed to work with subatomic particles – qubits – to perform quantum calculations.

In Technion, Bar-Ilan trials, nanochip ferries ‘neural growth factor’ — which combats neurodegenerative diseases — and releases it where needed, overcoming blood-brain barrier.

AMD’s first Threadripper CPU with 64 computing cores and 128 threads is coming in 2020. That’s double the 32 cores and 64 threads found in the second-generation flagship 2990WX. Pricing is yet to be confirmed.

DNA circuits could help ensure that cancer screens and therapies zero in on the right culprits. A new cancer-detecting tool uses tiny circuits made of DNA to identify cancer cells by the molecular signatures on their surface.

Duke University researchers fashioned the simple circuits from interacting strands of synthetic DNA that are tens of thousands of times finer than a human hair.

Unlike the circuits in a computer, these circuits work by attaching to the outside of a cell and analyzing it for proteins found in greater numbers on some cell types than others. If a circuit finds its targets, it labels the cell with a tiny light-up tag.