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Category: computing – Page 129

NASA Shuts Down Quantum Computer After Unexpected Results

NASA has temporarily halted operations of its quantum computer after it produced unexpected results. The computer, which is still under development, is designed to simulate complex systems such as those found in space. However, during a recent test, the computer-generated results that were inconsistent with known physical laws.

NASA scientists are currently investigating the cause of the anomaly. They are also working to develop safeguards to prevent similar incidents from happening in the future.

The shutdown of the quantum computer is a setback for NASA’s efforts to develop new technologies for space exploration. However, it is also an opportunity to learn more about the potential of quantum computing.

Stretchable transistors used in wearable devices enable in-sensor edge computing

Organic electrochemical transistors (OECTs) are neuromorphic transistors made of carbon-based materials that combine both electronic and ionic charge carriers. These transistors could be particularly effective solutions for amplifying and switching electronic signals in devices designed to be placed on the human skin, such as smart watches, trackers that monitor physiological signals and other wearable technologies.

In contrast with conventional neuromorphic transistors, OECTs could operate reliably in wet or humid environments, which would be highly advantageous for both medical and wearable devices. Despite their potential, most existing OECTs are based on stiff materials, which can reduce the comfort of wearables and thus hinder their large-scale deployment.

Researchers at the University of Hong Kong have developed a new wearable device based on stretchable OECTs that can both perform computations and collect signals from the surrounding environment. Their proposed system, presented in a paper published in Nature Electronics, could be used to realize in-sensor edge computing on a flexible wearable device that is comfortable for users.

ESO Telescope Captures the Most Detailed Infrared Map ever of our Milky Way

Astronomers have published a gigantic infrared map of the Milky Way containing more than 1.5 billion objects — the most detailed one ever made. Using the European Southern Observatory’s VISTA telescope, the team monitored the central regions of our Galaxy over more than 13 years. At 500 terabytes of data, this is the largest observational project ever carried out with an ESO telescope.

“We made so many discoveries, we have changed the view of our Galaxy forever,” says Dante Minniti, an astrophysicist at Universidad Andrés Bello in Chile who led the overall project.

This record-breaking map comprises 200,000 images taken by ESO’s VISTA — the Visible and Infrared Survey Telescope for Astronomy. Located at ESO’s Paranal Observatory in Chile, the telescope’s main purpose is to map large areas of the sky. The team used VISTA’s infrared camera VIRCAM, which can peer through the dust and gas that permeates our galaxy. It is therefore able to see the radiation from the Milky Way’s most hidden places, opening a unique window onto our galactic surroundings.

In a global first, quantum computers crack RSA and AES data encryption

A team of Chinese researchers, led by Wang Chao from Shanghai University, has demonstrated that D-Wave’s quantum annealing computers can crack encryption methods that safeguard sensitive global data.

This breakthrough, published in the Chinese Journal of Computers, emphasizes that quantum machines are closer than expected to threatening widely used cryptographic systems, including RSA and Advanced Encryption Standard (AES).

The research team’s experiments focused on leveraging D-Wave’s quantum technology to solve cryptographic problems. In their paper, titled “Quantum Annealing Public Key Cryptographic Attack Algorithm Based on D-Wave Advantage,” the researchers explained how quantum annealing could transform cryptographic attacks into combinatorial optimization problems, making them more manageable for quantum systems.

Assessing quantum advantage for ground state problems

How do we assess quantum advantage when exact classical solutions are not available?

A quantum advantage is a demonstration of a solution for a problem for which a quantum computer can provide a demonstrable improvement over any classical method and classical resources in terms of accuracy, runtime…

Today, algorithms designed to solve this problem mostly rely on what we call variational methods, which are algorithms guaranteed to output an energy for a target system which cannot be lower than the exact solution — or the deepest valley — up to statistical uncertainties. An ideal quality metric for the ground state problem would not only allow the user to benchmark different methods against the same problem, but also different target problems when tackled by the same method.

So, how can such an absolute metric be defined? And what would be the consequences of finding this absolute accuracy metric?

We construct our accuracy metric from an estimation of the energy and its variance for any specific algorithm used to solve the ground state problem, with additional parameters of the system such as the size and the nature of its interactions. We call this metric “variational-score,” or and show that it is an absolute metric for this benchmark.

Researchers in Taiwan develop the world’s smallest quantum computer

A research team led by National Tsing Hua University Department of Physics and Center for Quantum Science and Technology professor Chuu Chih-sung (褚志崧) has developed Taiwan’s first and the world’s smallest quantum computer, using a single photon, the university said yesterday.

Chuu said in the…

Bringing taiwan to the world and the world to taiwan.

Next-Gen Electronics Breakthrough: Harnessing the “Edge of Chaos” for High-Performance, Efficient Microchips

Researchers have discovered how the “edge of chaos” can help electronic chips overcome signal losses, making chips simpler and more efficient.

By using a metallic wire on a semi-stable material, this method allows for long metal lines to act like superconductors and amplify signals, potentially transforming chip design by eliminating the need for transistor amplifiers and reducing power usage.

Revolutionizing chip design with the edge of chaos.

Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in

Australian, American and British researchers conducted a prospective analysis of light levels in almost 89 thousand people and concluded that more light exposure at night and less during the day are associated with an increased risk of death from all causes.

Light enhances or disrupts circadian rhythms, depending on the timing of exposure. Circadian disruption contributes to poor health outcomes that increase mortality risk. Whether personal light exposure predicts mortality risk has not been established. We therefore investigated whether personal day and night light, and light patterns that disrupt circadian rhythms, predicted mortality risk. UK Biobank participants (N = 88,905, 62.4 ± 7.8 y, 57% female) wore light sensors for 1 wk. Day and night light exposures were defined by factor analysis of 24-h light profiles. A computational model of the human circadian pacemaker was applied to model circadian amplitude and phase from light data. Cause-specific mortality was recorded in 3,750 participants across a mean (±SD) follow-up period of 8.0 ± 1.0 y.