Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: computing – Page 2

PRESS RELEASE — Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they’re so different from today’s computers that scientists need to figure out the best ways to feed them information to take full advantage. The data must be packed in new ways, customized for quantum treatment.

Researchers at the Department of Energy’s Pacific Northwest National Laboratory have done just that, developing an algorithm specially designed to prepare data for a quantum system. The code, published recently on GitHub after being presented at the IEEE International Symposium on Parallel and Distributed Processing, cuts a key aspect of quantum prep work by 85 percent.

While the team demonstrated the technique previously, the latest research addresses a critical bottleneck related to scaling and shows that the approach is effective even on problems 50 times larger than possible with existing tools.

Read more | >

Imagine if our computers could think more like us—learning from experience, adapting on the go, and doing all this while using just a fraction of the energy. That’s not science fiction anymore. Welcome to the world of Neuromorphic Computing 🧠—a field that’s redefining how machines process information by taking inspiration from the most powerful processor we know: the human brain.

Read more | >

A study led by Pompeu Fabra University reveals which brain mechanisms allow psychosis to remit. The results of this pioneering research could have important clinical implications for exploring new intervention strategies in patients with psychosis. The study was carried out in collaboration with one of the main psychiatry groups at Lausanne University Hospital (Switzerland).

The study examines differences in the neural connectivity patterns of patients who have recovered from psychosis and subjects who have not. Identifying these differences using computational models has enabled determining which patterns of neural connectivity facilitate the remission of the disease.

The results of the research have recently been published in an article in the journal Nature Mental Health. Its principal author is Ludovica Mana, a doctor and neuroscientist of the Computational Neuroscience group at the UPF Center for Brain and Cognition (CBC). The main co-investigators are Gustavo Deco and Manel-Vila Vidal, director and researcher with the same research group, respectively.

Read more | >

Advances in high-throughput phenotyping (HTP) platforms together with genotyping technologies have revolutionized breeding of varieties with desired traits relying on genomic prediction. Yet, we lack an understanding of the expression of multiple traits at different time points across the entire growth period of the plant.

A research team, including IPK Leibniz Institute and the Max Planck Institute of Molecular Plant Physiology, has developed a computational approach to solve this problem. The results were published in the journal Nature Plants.

The phenome of a plant comprises the entirety of traits expressed at any given time, and is the integrated outcome of the effects of genetic factors, and their . Understanding how the crop phenome changes over time can help predict individual traits at specific time points in crop development. However, this problem is challenging not only because of the intricate dependence between individual traits, but also due to differences in how the phenomes of specific genotypes change over the plant life cycle.

Read more | >

RIKEN scientists have discovered how to manipulate molybdenum disulfide into acting as a superconductor, metal, semiconductor, or insulator using a specialized transistor technique.

By inserting potassium ions and adjusting conditions, they could trigger dramatic changes in the material’s electronic state—unexpectedly even turning it into a superconductor or insulator. This new level of control over a single 2D material could unlock exciting breakthroughs in next-gen electronics and superconductivity research.

Unlocking versatility in a single material.

Read more | >

Lithium-ion batteries have been a staple in device manufacturing for years, but the liquid electrolytes they rely on to function are quite unstable, leading to fire hazards and safety concerns. Now, researchers at Penn State are pursuing a reliable alternative energy storage solution for use in laptops, phones and electric vehicles: solid-state electrolytes (SSEs).

According to Hongtao Sun, assistant professor of industrial and manufacturing engineering, solid-state batteries—which use SSEs instead of liquid electrolytes—are a leading alternative to traditional . He explained that although there are key differences, the batteries operate similarly at a fundamental level.

“Rechargeable batteries contain two internal electrodes: an anode on one side and a cathode on the other,” Sun said. “Electrolytes serve as a bridge between these two electrodes, providing fast transport for conductivity. Lithium-ion batteries use liquid electrolytes, while solid-state batteries use SSEs.”

Read more | >

Paper link : https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.134.

Chapters:
00:00 Introduction.
00:49 Breaking the Classical Wall – What the Game Revealed.
02:32 Entanglement at Scale – Knots, Topology, and Robust Design.
03:51 Implications – A New Era of Quantum Machines.
07:37 Outro.
07:47 Enjoy.

MUSIC TITLE : Starlight Harmonies.

MUSIC LINK : https://pixabay.com/music/pulses-starlight-harmonies-185900/

Visit our website for up-to-the-minute updates:
www.nasaspacenews.com.

Follow us.

Continue reading “Quantum Telepathy Is Possible! This Quantum Computer Just Beat Classical Physics” | >

A discovery by an international team of scientists has revealed room-temperature ferroelectric and resistive switching behaviors in single-element tellurium (Te) nanowires, paving the way for advancements in ultrahigh-density data storage and neuromorphic computing.

Published in Nature Communications, this research marks the first experimental evidence of ferroelectricity in Te nanowires, a single-element material, which was previously predicted only in theoretical models.

“Ferroelectric materials are substances that can store electrical charge and keep it even when the power is turned off, and their charge can be switched by applying an external electric field—a characteristic essential for non-volatile memory applications,” points out co-corresponding author of the paper Professor Yong P. Chen, a principal investigator at Tohoku University’s Advanced Institute for Materials Research (AIMR) and a professor at Purdue and Aarhus Universities.

Read more | >