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Archive for the ‘computing’ category: Page 356

Dec 4, 2020

Cool laser writes data in 20 trillionths of a second

Posted by in category: computing

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European researchers have unveiled a memory storage device that writes data 1,000 times faster than today’s hard drives while producing little heat.

Andrzej Stupakiewicz from the University of Bialystok in Poland and colleagues used precisely tuned laser pulses to store information on garnet crystal at blistering speeds with very little heat.

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Dec 3, 2020

Magnetism Does the Twist: Skyrmions 10,000 Times Thinner Than a Human Hair Could Advance High-Density Data Storage

Posted by in categories: climatology, computing, particle physics, quantum physics

Scientists discovered a strategy for layering dissimilar crystals with atomic precision to control the size of resulting magnetic quasi-particles called skyrmions. This approach could advance high-density data storage and quantum magnets for quantum information science.

In typical ferromagnets, magnetic spins align up or down. Yet in skyrmions, they twist and swirl, forming unique shapes like petite porcupines or tiny tornadoes.

The tiny intertwined magnetic structures could innovate high-density data storage, for which size does matter and must be small. The Oak Ridge National Laboratory-led project produced skyrmions as small as 10 nanometers – 10,000 times thinner than a human hair.

Dec 3, 2020

China Claims Quantum Supremacy

Posted by in categories: computing, quantum physics

Google claimed quantum supremacy in October 2019 — but using a strikingly different system.

Dec 3, 2020

Tech makes it possible to digitally communicate through human touch

Posted by in categories: computing, mobile phones

Instead of inserting a card or scanning a smartphone to make a payment, what if you could simply touch the machine with your finger?

A prototype developed by Purdue University engineers would essentially let your body act as the link between your card or smartphone and the reader or scanner, making it possible for you to transmit information just by touching a .

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Dec 3, 2020

Mapping quantum structures with light to unlock their capabilities

Posted by in categories: computing, mapping, quantum physics, solar power, sustainability

A new tool that uses light to map out the electronic structures of crystals could reveal the capabilities of emerging quantum materials and pave the way for advanced energy technologies and quantum computers, according to researchers at the University of Michigan, University of Regensburg and University of Marburg.

A paper on the work is published in Science.

Applications include LED lights, solar cells and artificial photosynthesis.

Dec 3, 2020

Dark energy camera snaps deepest photo yet of galactic siblings

Posted by in categories: computing, cosmology

Images from the Survey of the MAgellanic Stellar History (SMASH) reveal a striking family portrait of our galactic neighbors—the Large and Small Magellanic Clouds. The images represent a portion of the second data release from the deepest, most extensive survey of the Magellanic Clouds. The observations consist of roughly 4 billion measurements of 360 million objects.

A sprawling portrait of two astronomical galactic neighbors presents a new perspective on the swirls of stars, gas, and dust making up the nearby dwarf known as the Large and Small Magellanic Clouds—a pair of dwarf satellite galaxies to our Milky Way. While this isn’t the first survey to map these nearby cosmic siblings—the Survey of the MAgellanic Stellar History (SMASH) is the most extensive survey yet.

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Dec 2, 2020

Report: Amazon Pushing to Develop an In-House Quantum Computer

Posted by in categories: computing, quantum physics

It seems the company has already hired personnel for the effort.

Dec 1, 2020

Quantum coherence times, 2000–2040

Posted by in categories: computing, mathematics, quantum physics

Coherence times in quantum computing have increased by orders of magnitude since the early 2000s. If this exponential progress continues, coherence times measured in seconds or even minutes could be achieved in the near future.

When discussing the latest quantum computers, most people tend to focus on the number of quantum bits (or qubits) in a system. However, while qubit counts are a very important factor, another key metric is coherence time, which measures how long a qubit can hold information.

In order to generate complex mathematical calculations, a qubit needs to hold information for as long as possible. That requires physical qubits to remain highly isolated from the surrounding environment. When a qubit is disrupted by external stimuli – such as background noise from vibrations, temperature changes or stray electromagnetic fields – information about the state of that qubit “leaks out” in a process known as decoherence. This can ruin the ability to exploit any quantum effects. Longer coherence times enable more quantum gates to be utilised before this occurs, resulting in more complex calculations.

Dec 1, 2020

Next step in simulating the universe

Posted by in categories: computing, particle physics

Computer simulations have struggled to capture the impact of elusive particles called neutrinos on the formation and growth of the large-scale structure of the universe. But now, a research team from Japan has developed a method that overcomes this hurdle.

In a study published this month in the Astrophysical Journal, researchers led by the University of Tsukuba present simulations that accurately depict the role of in the evolution of the universe.

Why are these simulations important? One key reason is that they can set constraints on a currently unknown quantity: the neutrino mass. If this quantity is set to a particular value in the simulations and the differ from observations, that value can be ruled out. However, the constraints can be trusted only if the simulations are accurate, which was not guaranteed in previous work. The team behind this latest research aimed to address this limitation.

Dec 1, 2020

Lower current leads to highly efficient memory

Posted by in categories: computing, particle physics, quantum physics

Researchers are a step closer to realizing a new kind of memory that works according to the principles of spintronics which is analogous to, but different from, electronics. Their unique gallium arsenide-based ferromagnetic semiconductor can act as memory by quickly switching its magnetic state in the presence of an induced current at low power. Previously, such current-induced magnetization switching was unstable and drew a lot of power, but this new material both suppresses the instability and lowers the power consumption too.

The field of quantum computing often gets covered in the technical press; however, another emerging field along similar lines tends to get overlooked, and that is spintronics. In a nutshell, spintronic devices could replace some and offer greater performance at far low power levels. Electronic devices use the motion of electrons for power and communication. Whereas use a transferable property of stationary electrons, their angular momentum, or spin. It’s a bit like having a line of people pass on a message from one to the other rather than have the person at one end run to the other. Spintronics reduces the effort needed to perform computational or memory functions.

Spintronic-based memory devices are likely to become common as they have a useful feature in that they are nonvolatile, meaning that once they are in a certain state, they maintain that state even without power. Conventional computer memory, such as DRAM and SRAM made of ordinary semiconductors, loses its state when it’s powered off. At the core of experimental spintronic devices are that can be magnetized in opposite directions to represent the familiar binary states of 1 or 0, and this switching of states can occur very, very quickly. However, there has been a long and arduous search for the best materials for this job, as magnetizing spintronic materials are no simple matter.