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Category: computing – Page 87

Researchers are developing world’s first petahertz-speed phototransistor in ambient conditions

What if ultrafast pulses of light could operate computers at speeds a million times faster than today’s best processors? A team of scientists, including researchers from the University of Arizona, are working to make that possible.

In an international effort, researchers from the Department of Physics in the College of Science and the James C. Wyant College of Optical Sciences have demonstrated a way to manipulate electrons in graphene using pulses of light that last less than a trillionth of a second. By leveraging a quantum effect known as tunneling, they recorded electrons bypassing a physical barrier almost instantaneously, a feat that redefines the potential limits of computer processing power.

A study published in Nature Communications highlights how the technique could lead to processing speeds in the petahertz range—over 1,000 times faster than modern computer chips.

First successful demonstration of quantum error correction of qudits for quantum computers

In the world of quantum computing, the Hilbert space dimension—the measure of the number of quantum states that a quantum computer can access—is a prized possession. Having a larger Hilbert space allows for more complex quantum operations and plays a crucial role in enabling quantum error correction (QEC), essential for protecting quantum information from noise and errors.

A recent study by researchers from Yale University published in Nature created qudits—a that holds and can exist in more than two states. Using a qutrit (3-level quantum system) and a ququart (4-level quantum system), the researchers demonstrated the first-ever experimental for higher-dimensional quantum units using the Gottesman–Kitaev–Preskill (GKP) bosonic code.

Most quantum computers on the market usually process information using quantum states called qubits—fundamental units similar to a bit in a regular computer that can exist in two well-defined states, up and down and also both 0 and 1 at the same time, due to quantum superposition. The Hilbert space of a single qubit is a two-dimensional complex vector space.

Study maps three decades of white LED progress and key innovation drivers

White light-emitting diodes (LEDs), the semiconductor devices underpinning the functioning of countless lighting technologies on the market today, were first released to the public in 1996. Following their commercial debut, these devices have fueled significant advancements within the electronics and lighting industry, due to their remarkable energy efficiencies and extended lifespans.

Researchers at the University of Cambridge and ETH Zurich recently carried out a study aimed at re-tracing the development of white LEDs over the past three decades, as well as trends in their costs and innovations in other engineering fields that fueled their advancement. Their paper, published in Nature Energy, was part of a larger research project that investigated the factors driving innovation in the clean energy sector.

“As part of our research, we looked at three key technologies at the forefront of the ongoing energy transition: solar photovoltaics for , lithium-ion batteries for , and white LEDs for efficient energy use in lighting,” Michael P. Weinold, first author of the paper, told Tech Xplore.

A new strategy to fabricate highly performing thin-film tin perovskite transistors

Tin-halide perovskites, a class of tin-based materials with a characteristic crystal structure that resembles that of the compound calcium titanate, could be promising alternatives to commonly used semiconductors. Past studies have explored the possibility of using these materials to fabricate p-channel thin-film transistors (TFTs), devices used to control and amplify the flow of charge carriers in electronics devices.

So far, however, the reliable fabrication and integration of thin-film perovskites into commercially available electronics has proved challenging. This is in part due to difficulties encountered when trying to produce uniform perovskite films with consistent electronic properties using scalable and industry-compatible methods.

Researchers at Pohang University of Science and Technology recently introduced a new promising strategy for the fabrication of highly performing TFTs based on tin-halide perovskites. Their approach, outlined in a paper published in Nature Electronics, relies on thermal evaporation and the use of lead chloride (PbCl2) as a reaction initiator.

Quantum simulation captures light-driven chemical changes in real molecules for the first time

Researchers at the University of Sydney have successfully performed a quantum simulation of chemical dynamics with real molecules for the first time, marking a significant milestone in the application of quantum computing to chemistry and medicine.

Understanding in real time how atoms interact to form new compounds or interact with light has long been expected as a potential application of quantum technology. Now, quantum chemist Professor Ivan Kassal and Physics Horizon Fellow Dr. Tingrei Tan have shown it is possible using a quantum machine at the University of Sydney.

The innovative work leverages a novel, highly resource-efficient encoding scheme implemented on a trapped-ion quantum computer in the University of Sydney Nanoscience Hub, with implications that could help transform medicine, energy and materials science.

Coming to a Brain Near You: A Tiny Computer

Brain-computer interfaces are already letting people with paralysis control computers and communicate their needs, and will soon enable them to manipulate prosthetic limbs without moving a muscle.

The year ahead is pivotal for the companies behind this technology.

Fewer than 100 people to date have had brain-computer interfaces permanently installed. In the next 12 months, that number will more than double, provided the companies with new FDA experimental-use approval meet their goals in clinical trials. Apple this week announced its intention to allow these implants to control iPhones and other products.

Brain structure changes in people who work long hours

If you need an excuse to turn off the laptop over the weekend or rein in overtime, scientists have found that working extended hours actually changes parts of the brain linked to emotional regulation, working memory and solving problems. While we know the toll that “overwork” takes physically and mentally, the precise neurological impact has not been well understood.

An international team of researchers including scientists from Korea’s Chung-Ang University assessed 110 healthcare workers – 32 who worked excessive hours (52 or more per week) and 78 who clocked less than 52 hours per week, or what would be considered closer to standard hours in the field. Voxel based morphometry (VBM) to assess gray matter and atlas-based analysis was then applied to MRI scans of each individual’s brain, identifying volume and connectivity differences.

When the scientists adjusted the results to account for age and sex, they found that, in the overworked cohort, the imaging showed a significant difference in brain volume in 17 different regions of the organ – including the middle frontal gyrus (MFG), insula and superior temporal gyrus (STG). Atlas-based analysis identified that, in the overworked individuals, there was 19% more volume in the left caudal MFG. The MFG – part of the brain’s frontal lobe – is the heavy lifter when it comes to executive functioning like emotional regulation, working memory, attention and planning, while the STG’s main task is auditory and language processing. The insula, meanwhile, is key in pain processing and other sensory signaling.

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