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JILA and NIST Fellow James K. Thompson’s team of researchers have for the first time successfully combined two of the “spookiest” features of quantum mechanics to make a better quantum sensor: entanglement between atoms and delocalization of atoms.

Einstein originally referred to entanglement as creating spooky action at a distance—the strange effect of quantum mechanics in which what happens to one atom somehow influences another atom somewhere else. Entanglement is at the heart of hoped-for quantum computers, quantum simulators and quantum sensors.

A second rather spooky aspect of quantum mechanics is delocalization, the fact that a single atom can be in more than one place at the same time. As described in their paper recently published in Nature, the Thompson group has combined the spookiness of both entanglement and delocalization to realize a matter-wave interferometer that can sense accelerations with a precision that surpasses the standard quantum limit (a limit on the accuracy of an experimental measurement at a quantum level) for the first time.

Gates will provide grants to prepare teachers better for teaching math and to curriculum companies and nonprofits to develop higher-quality teaching materials. The foundation will also support research into math education and make grants to help high-school math courses prepare students for college and the workplace.

A big problem with math as it is taught today is that students learn in isolation and can feel crushed when they get the wrong answer to a problem, says Shalinee Sharma, co-founder of Zearn, an educational nonprofit and Gates grantee who, with Hughes, spoke with reporters this week. Zearn uses computer-based lessons that incorporate a lot of visuals to keep students interested and provides feedback on progress to help teachers tailor lessons for individual students. A new approach in which students work in teams to solve problems, she said, can turn all students into “math kids.”

“When all kids are ‘math kids,’ making mistakes will be OK,” she said. “It won’t be embarrassing. In fact, making mistakes will be considered normal and an essential part of math learning.”

Resistive switching random-access memories (RRAMs) integrate information storage and processing into the same device, enabling faster and more energy-efficient computing. However, RRAMs are challenging to fabricate and suffer from inconsistent on-off switching. Now Zheng Jie Tan, Vrindaa Somjit, and collaborators at the Massachusetts Institute of Technology have discovered that adding dopants to the RRAMs dramatically improves their performance and the yield of their fabrication [1]. The researchers say their results provide an additional “knob” to optimize RRAMs, helping position them as one of the leading technologies for so-called in-memory computation.

An RRAM comprises an insulating material sandwiched between two metallic layers. The bits are defined by the amount of current that passes through the device via conduction paths in the insulator under a voltage. If the voltage is strong enough, it can induce the formation or destruction of conduction paths, thus controlling information processing.

While fabricating their device, the researchers added electronegative dopants, such as gold atoms, to the insulating material. The electron redistribution induced by the dopants facilitated the formation of conduction paths, which became more stable and showed increased on-off switching consistency compared with their undoped counterparts. Moreover, doped RRAMs were consistently fabricated with conducting paths already established before the device was used. Undoped RRAMs are often fabricated without such paths, and the postfabrication process required to create them—“electroforming,” involving the application of a very strong voltage—can result in irreparable device damage.

A single computer chip has transmitted a record 1.84 petabits of data per second via a fibre-optic cable – enough bandwidth to download 230 million photographs in that time, and more traffic than travels through the entire internet’s backbone network per second.

Asbjørn Arvad Jørgensen at the Technical University of Denmark in Copenhagen and his colleagues have used a photonic chip – a technology that allows optical components to be built onto computer chips – to divide a stream of data into thousands of separate channels and transmit them all at once over 7.9 kilometres.

First, the team split the data stream into 37 sections, each of which was sent down a separate core of the fibre-optic cable. Next, each of these channels was split into 223 data chunks that existed in individual slices of the electromagnetic spectrum. This “frequency comb” of equidistant spikes of light across the spectrum allowed data to be transmitted in different colours at the same time without interfering with each other, massively increasing the capacity of each core.

Field-effect transistors (FETs) are transistors in which the resistance of most of the electrical current can be controlled by a transverse electric field. Over the past decade or so, these devices have proved to be very valuable solutions for controlling the flow of current in semiconductors.

To further develop FETs, electronics engineers worldwide have recently been trying to reduce their size. While these down-scaling efforts have been found to increase the device’s speed and lower the power consumption, they are also associated with short-channel effects (i.e., unfavorable effects that occur when an FET’s channel length is approximately equal to the space charge regions of source and drain junctions within its substrate).

These undesirable effects, which include barrier lowering and velocity saturation, could be suppressed by using 2D semiconductor channels with high carrier mobilities and ultrathin high–k dielectrics (i.e., materials with high dielectric constants). Integrating 2D semiconductors with dielectrics with similar oxide thicknesses has been found to be highly challenging.

“Approximately 200,000 times thinner than human hair.”

New energy-efficient devices are made possible by the thinnest ferroelectric material ever created, thanks to the University of California Berkeley and Argonne National Laboratory.

As a result of this development, intriguing material behavior at small scales could reduce energy demands for computing, revealed ANL.

Vintage lovers, unite.

Jason Scott, a tech activist has launched a new website named Discmaster, which enables you to find any file among 91.7 million vintage computer files taken from Archive.org.

“The value proposition is the value proposition of any freely accessible research database,” stated Jason Scott in an interview with Ars Technica.

Continue reading “A new tool helps you go nostalgic and search through 91.7 million files from ‘80s and on” »

Discovery of intriguing material behavior at small scales could reduce energy demands for computing.

As electronic devices become smaller and smaller, the materials that power them need to become thinner and thinner. Because of this, one of the key challenges scientists face in developing next-generation energy-efficient electronics is discovering materials that can maintain special electronic properties at an ultrathin size.

Advanced materials known as ferroelectrics present a promising solution to help lower the power consumed by the ultrasmall electronic devices found in cell phones and computers. Ferroelectrics—the electrical analog to ferromagnets—are a class of materials in which some of the atoms are arranged off-center, leading to a spontaneous internal electric charge or polarization. This internal polarization can reverse its direction when scientists expose the material to an external voltage. This offers great promise for ultralow-power microelectronics.

With Executive Order 14028, a large regulatory push toward mandating the production of a software bill of materials (SBOM) began. As this new buzzword spreads, you’d think it was a miracle cure for securing the software supply chain. Conceptually, it makes sense — knowing what is in a product is a reasonable expectation. However, it is important to understand what exactly an SBOM is and whether or not it can objectively be useful as a security tool.

SBOMs are meant to be something like a nutrition label on the back of a grocery store item listing all of the ingredients that went into making the product. While there currently is no official SBOM standard, a few guideline formats have emerged as top candidates. By far, the most popular is the Software Data Package Exchange (SPDX), sponsored by the Linux Foundation.

SPDX, as with most other formats, attempts to provide a common way to represent basic information about the ingredients that go into the production of software: names, versions, hashes, ecosystems, ancillary data like known flaws and license information, and relevant external assets. However, software is not as simple as a box of cereal, and there is no equivalent to the Food and Drug Administration enforcing compliance to any recommended guidelines.