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Category: computing – Page 12

Forget conventional electronics, DNA tech stores data, offers computing functions.

Called “primordial DNA store and compute engine,” the technology could store data securely for thousands of years in commercially available spaces without degrading the information-storing DNA, suggests testing.

In conventional computing technologies, the ways data are stored and processed are compatible with each other, according to researchers. However, in reality, data storage and data processing are done in separate parts of the computer, and modern computers are a network of complex technologies.

The new technology is made possible by using recent developments, which have enabled the creation of soft polymer materials that have unique morphologies.

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A recent study published in PLOS Computational Biology found that people with stronger autistic traits, particularly those with a preference for predictability, tend to exhibit unique curiosity-driven behaviors. These individuals showed persistence in tasks requiring sustained attention, often leading to superior learning outcomes.

Autism spectrum disorder is a developmental condition that affects how individuals perceive and interact with the world. It is characterized by differences in communication, social interaction, and behavior patterns. Rather than being a singular condition, autism exists on a spectrum, meaning that individuals experience varying levels of intensity and expression of traits. While some may require significant support in daily life, others might navigate independently with unique strengths and challenges.

Autistic traits are characteristics commonly associated with autism but may also be present in varying degrees within the general population. These traits can include a preference for routines, heightened sensitivity to sensory input, and intense focus on specific topics of interest. While these traits can sometimes pose challenges, they also contribute to unique ways of thinking and problem-solving.

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New research demonstrates a brand-new architecture for scaling up superconducting quantum devices. Researchers at the UChicago Pritzker School of Molecular Engineering (UChicago PME) have realized a new design for a superconducting quantum processor, aiming at a potential architecture for the large-scale, durable devices the quantum revolution demands.

Unlike the typical quantum chip design that lays the information-processing qubits onto a 2-D grid, the team from the Cleland Lab has designed a modular quantum processor comprising a reconfigurable router as a central hub. This enables any two qubits to connect and entangle, where in the older system, qubits can only talk to the qubits physically nearest to them.

“A quantum computer won’t necessarily compete with a classical computer in things like memory size or CPU size,” said UChicago PME Prof. Andrew Cleland. “Instead, they take advantage of a fundamentally different scaling: Doubling a classical computer’s computational power requires twice as big a CPU, or twice the clock speed. Doubling a quantum computer only requires one additional qubit.”

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MicroAlgo Inc. has announced the development of a quantum algorithm it claims significantly enhances the efficiency and accuracy of quantum computing operations. According to a company press release, this advance focuses on implementing a FULL adder operation — an essential arithmetic unit — using CPU registers in quantum gate computers.

The company says this achievement could open new pathways for the design and practical application of quantum gate computing systems. However, it’s important to point out that the company did not cite supporting research papers or third-party validations in the announcement.

Quantum gate computers operate by applying quantum gates to qubits, which are the basic units of quantum information. Unlike classical bits that represent data as either “0” or “1,” qubits can exist in a superposition of probabilistic states, theoretically enabling quantum systems to process specific tasks more efficiently than classical computers. According to the press release, MicroAlgo’s innovation leverages quantum gates and the properties of qubits, including superposition and entanglement, to simulate and perform FULL adder operations.

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To overcome that limitation, MIT researchers have developed a computational technique that allows large language models to predict antibody structures more accurately. Their work could enable researchers to sift through millions of possible antibodies to identify those that could be used to treat SARS-CoV-2 and other infectious diseases.

The findings are published in the journal Proceedings of the National Academy of Sciences.

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Prof Zhang Zhiyong’s team at Peking University developed a heterojunction-gated field-effect transistor (HGFET) that achieves high sensitivity in short-wave infrared detection, with a recorded specific detectivity above 1014 Jones at 1,300 nm, making it capable of starlight detection. Their research was recently published in the journal Advanced Materials, titled “Opto-Electrical Decoupled Phototransistor for Starlight Detection.”

Highly sensitive shortwave infrared (SWIR) detectors are essential for detecting weak radiation (typically below 10−8 W·Sr−1 ·cm−2 ·µm−1) with high-end passive image sensors. However, mainstream SWIR detection based on epitaxial photodiodes cannot effectively detect ultraweak infrared radiation due to the lack of inherent gain.

Filling this gap, researchers at the Peking University School of Electronics and collaborators have presented a heterojunction-gated (HGFET) that achieves ultra-high photogain and exceptionally in the short-wavelength infrared (SWIR) region, benefiting from a design that incorporates a comprehensive opto-electric decoupling mechanism.

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Scientists at EPFL achieved a breakthrough by synchronizing six mechanical oscillators into a collective quantum state, enabling observations of unique phenomena like quantum sideband asymmetry. This advance paves the way for innovations in quantum computing and sensing.

Quantum technologies are revolutionizing our understanding of the universe, and one promising area involves macroscopic mechanical oscillators. These devices, already integral to quartz watches, mobile phones, and telecommunications lasers, could play a transformative role in the quantum realm. At the quantum scale, macroscopic oscillators have the potential to enable ultra-sensitive sensors and advanced components for quantum computing, unlocking groundbreaking innovations across multiple industries.

Achieving control over mechanical oscillators at the quantum level is a critical step toward realizing these future technologies. However, managing them collectively poses significant challenges, as it demands nearly identical units with exceptional precision.

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Quantum walks, leveraging quantum phenomena such as superposition and entanglement, offer remarkable computational capabilities beyond classical methods.

These versatile models excel in diverse tasks, from database searches to simulating complex quantum systems. With implementations spanning analog and digital methods, they promise innovations in fields like quantum computing, simulation, and graph theory.

Harnessing Quantum Phenomena for Computation.

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