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Google on Monday said that it has overcome a key challenge in quantum computing with a new generation of chip, solving a computing problem in five minutes that would take a classical computer more time than the history of the universe.

Like other tech giants such as Microsoft and International Business Machines, Alphabet’s Google is chasing quantum computing because it promises computing speeds far faster than today’s fastest systems. While the math problem solved by the company’s Santa Barbara, California quantum lab does not have commercial applications, Google hopes quantum computers will one day solve problems in medicine, battery chemistry and Artificial Intelligence (AI) that are out of reach for today’s computers.

The results released Monday came from a new chip called Willow that has 105 “qubits,” which are the building blocks of quantum computers. Qubits are fast but error-prone, because they can be jostled by something as small as a subatomic particle from events in outer space.

As more qubits are packed onto a chip, those errors can add up to make the chip no better than a conventional computer chip. So since the 1990s, scientists have been working on quantum error-correction.

In a paper published in the journal Nature on Monday, Google said that it has found a way to string together the Willow chip’s qubits so that error rates go down as the number of qubits goes up. The company also says it can correct errors in real time, a key step toward making its quantum machines practical.

“We are past the break even point,” Hartmut Neven, who leads the Google Quantum AI unit, said in an interview.

In 2019, IBM challenged Google’s claim that Google’s quantum chip solved a problem that would take a classical computer 10,000 years, saying the problem could be solved in two-and-a-half days using different technical assumptions about a classical system.

In a blog post Monday, Google said it took some of those concerns into account in its newest estimates. Even under the most idealistic conditions, Google said a classical computer would still take a billion years to get the same results as its newest chip.

Some of Google’s rivals are producing chips with a larger number of qubits than Google, but Google is focused on making the most reliable qubits it can, Anthony Megrant, chief architect for Google Quantum AI, said in an interview.

Google fabricated its previous chips in a shared facility at the University of California, Santa Barbara, but built its own dedicated fabrication facility to produce its Willow chips. Megrant said that new facility will speed up how fast Google can make future chips, which are chilled in huge refrigerators called cryostats to run experiments.

“If we have a good idea, we want somebody on the team to be able to … get that into the clean room and into one of these cryostats as fast as possible, so we can get lots of cycles of learning,” Megrant said.

© Thomson Reuters 2024

(This story has not been edited by NDTV staff and is auto-generated from a syndicated feed.)

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69-Year-Old Man with Paralysis Flies Virtual Drone Using Brain Implant

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69-Year-Old Man with Paralysis Flies Virtual Drone Using Brain Implant

A paralysed individual, aged 69, has successfully piloted a virtual drone using a brain-computer interface (BCI) that interprets neural signals. This innovative achievement has enabled the participant to navigate a video-game obstacle course by imagining specific finger movements. The breakthrough device, which bridges brain activity and real-time control, demonstrates potential applications for assisting those with mobility challenges to engage in intricate tasks. These developments mark significant progress in the application of BCIs for enhancing motor functions.

Breakthrough Detailed in Nature Medicine

According to a study published in Nature Medicine, the man, who had been paralysed in all four limbs following a spinal cord injury, controlled the virtual drone using neural signals linked to imagined movements of specific finger groups. The research relied on electrodes implanted in the participant’s left motor cortex, which had been placed during a prior operation in 2016. Algorithms were trained to decode the brain’s signals when he visualised moving his right thumb, different finger pairs, or combinations of them.

The researchers reported that the participant initially practised synchronising imagined movements with a virtual hand displayed on a screen, achieving a high degree of accuracy by hitting up to 76 targets per minute. Subsequently, the signals were connected to the drone’s navigation system, allowing him to steer it through a virtual basketball court, manoeuvring rings with precision.

Expert Insights on Potential Applications

Matthew Willsey, a neurosurgeon at the University of Michigan and a co-author of the study, told Nature Medicine that the participant likened the experience to playing a musical instrument, requiring delicate adjustments to maintain control. Willsey noted that the research seeks to enable control of multiple movements simultaneously, potentially assisting activities such as typing or playing musical instruments.

John Downey, a BCI researcher from the University of Chicago, described the work as an important initial step in understanding hand control mechanisms. He highlighted the potential of this technology as a versatile tool for individuals with limited mobility. Researchers aim to enhance the system to decode signals for all ten fingers.

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Hubble Telescope Observes Two Young Stars in Orion Nebula

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Hubble Telescope Observes Two Young Stars in Orion Nebula

Two young stars have been captured in a new image taken by the Hubble Space Telescope, located in the Orion Nebula, a well-known region for star formation. The stars, named HOPS 150 and HOPS 153, are situated approximately 1,300 light-years from Earth. The Orion Nebula is considered the closest massive star-forming region to Earth and contains hundreds of newly forming stars. The image provides insight into the ongoing process of star birth, showing the stars in their early stages as they gather material from their surrounding environment.

Protostars Observed in Orion Nebula

As reported by space.com, according to the European Space Agency’s (ESA) statement, the stars were identified through the Herschel Orion Protostar Survey conducted using the Herschel Space Observatory. HOPS 150, which consists of two stars, a forming a binary system, is seen glowing in bright golden red in the image’s upper-right corner. The binary stars are surrounded by a large cloud of gas and dust, which continues to provide material for their growth. The protostars are said to be midway in their developmental process, based on the light they emit in different wavelengths.

Stellar Jet Emission from HOPS 153

The statement also noted that HOPS 153, located on the left side of the image, exhibits a narrow jet of colorful gas extending outward. This jet is a byproduct of the star’s evolution, as it ejects material while feeding from its surrounding disk. The colorful jet, composed of high-speed matter, interacts with the surrounding gas and dust in the nebula, influencing the formation of new stars in the region.

Future Evolution of the Young Stars

ESA officials have stated that HOPS 153 is still deeply embedded in its birth cloud of cold, dense gas. While the protostar itself is not visible, the jet it emits can be clearly observed. As the star continues to develop, further material ejection is expected, which may impact the surrounding nebula and the formation of neighboring stars.

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New Lithium-Sulfur Battery Retains 80 Percent Capacity After 25,000 Cycles

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New Lithium-Sulfur Battery Retains 80 Percent Capacity After 25,000 Cycles

Engineers and materials scientists have achieved a major advancement in battery technology, developing a lithium-sulfur battery that retains 80 percent of its charge capacity after 25,000 charging cycles. The new design, which uses a specially formulated electrode, represents a significant improvement over conventional lithium-ion batteries. The breakthrough could pave the way for smaller, lighter, and longer-lasting energy storage solutions, addressing critical demands in electronics and electric vehicles.

Key Innovations in the Study

According to a study published in Nature, sulfur was utilised as a core component for the battery’s solid electrode. Despite being abundant and cost-effective, sulfur has historically posed challenges due to issues such as ion loss and expansion during reactions with lithium. These problems were tackled by incorporating a glass-like mixture composed of sulfur, boron, lithium, phosphorus, and iodine. The iodine element was found to enhance electron movement during redox reactions, allowing for faster charging and improved performance.

As reported by Techxplore, the research demonstrated that the porous atomic structure of the electrode facilitated ion diffusion, eliminating the need for intermediary movements. This structural stability, combined with the chemical properties of the glass-phase electrolyte, contributed to the battery’s durability across an unprecedented number of cycles.

Performance and Potential Applications

The experimental lithium-sulfur battery maintained its capacity even under high temperatures, a notable advantage in demanding environments. Standard lithium-ion batteries typically degrade after approximately 1,000 cycles, making this new battery’s longevity a striking development. Despite its promise, the study’s authors acknowledged the need for further research to improve energy density and explore alternative materials that could reduce the battery’s overall weight.

Efforts are being directed at refining this technology to support the growing demand for energy storage in applications ranging from consumer electronics to renewable energy systems.

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Heavy Dark Matter Could Break the Standard Model, New Research Shows

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