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Scientists have discovered a natural compound that can halt a key process involved in the progression of certain cancers and demyelinating diseases—conditions that damage the protective myelin sheath surrounding neurons, such as multiple sclerosis (MS).

A study published in the Journal of Biological Chemistry identified a plant-derived flavonoid called sulfuretin as an inhibitor of an enzyme linked to both MS and cancer. The research, conducted in cell models at Oregon Health & Science University, demonstrated that sulfuretin effectively blocked the enzyme’s activity. The next phase of research will involve testing the compound in animal models to evaluate its therapeutic potential, effectiveness, and possible side effects in treating cancer and neurodegenerative diseases like MS.

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Chinese scientists unveiled a superconducting quantum computer prototype named “Zuchongzhi 3.0” with 105 qubits on Monday (Beijing Time), marking a breakthrough in China’s quantum computing advancements.

The achievement also sets a new record in quantum computational advantage within superconducting systems.

Developed by Chinese quantum physicists Pan Jianwei, Zhu Xiaobo, Peng Chengzhi, etc., “Zuchongzhi 3.0” features 105 readable qubits and 182 couplers. It processes quantum random circuit sampling tasks at a speed quadrillion times faster than the world’s most powerful supercomputer and 1 million times faster than Google’s latest results published in Nature in October 2024.

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In classical electromagnetism, electric and magnetic fields are the fundamental entities responsible for all physical effects. There is a compact formulation of electromagnetism that expresses the fields in terms of another quantity known as the electromagnetic potential, which can have a value everywhere in space. The fields are easily derived theoretically from the potential, but the potential itself was taken to be purely a mathematical device, with no physical meaning.

In quantum mechanics, shifts in the electromagnetic potential alter the description of a charged particle only by shifting its phase—that is, by advancing or retarding the crests and troughs in its quantum wave function. In general, however, such a phase change does not lead to any difference in the measurable properties of a particle.

But in 1959 Yakir Aharonov and David Bohm of the University of Bristol, UK, devised a thought experiment that linked the potential to a measurable result. In their scenario, a beam of electrons is split, with the two halves made to travel around opposite sides of a cylindrical electromagnet, or solenoid. The magnetic field is concentrated inside the solenoid and can be made arbitrarily weak outside by making the cylinder extremely narrow. So Aharonov and Bohm argued that the two electron paths can travel through an essentially field-free region that surrounds the concentrated field within the electromagnet.

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A new high-performance quantum processor boasts 105 superconducting qubits and rivals Google’s acclaimed Willow processor.

In the quest for useful quantum computers, processors based on superconducting qubits are especially promising. These devices are both programmable and capable of error correction. In December 2024, researchers at Google Quantum AI in California reported a 105-qubit superconducting processor known as Willow (see Research News: Cracking the Challenge of Quantum Error Correction) [1]. Now Jian-Wei Pan at the University of Science and Technology of China and colleagues have demonstrated their own 105-qubit processor, Zuchongzhi 3.0 (Fig. 1) [2]. The two processors have similar performances, indicating a neck-and-neck race between the two groups.

Quantum advantage is the claim that a quantum computer can perform a specific task faster than the most powerful nonquantum, or classical, computer. A standard task for this purpose is called random circuit sampling, and it works as follows. The quantum computer applies a sequence of randomly ordered operations, known as a random circuit, to a set of qubits. This circuit transforms the qubits in a unique and complex way. The computer then measures the final states of the qubits. By repeating this process many times with different random circuits, the quantum computer records a probability distribution of final qubit states.

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Water may have first formed 100–200 million years after the Big Bang, according to a modeling paper published in Nature Astronomy. The authors suggest that the formation of water may have occurred in the universe earlier than previously thought and may have been a key constituent of the first galaxies.

Water is crucial for life as we know it, and its components—hydrogen and oxygen—are known to have formed in different ways. Lighter chemical elements such as hydrogen, helium and were forged in the Big Bang, but heavier elements, such as oxygen, are the result of nuclear reactions within or supernova explosions. As such, it is unclear when water began to form in the universe.

Researcher Daniel Whalen and colleagues utilized computer models of two supernovae—the first for a star 13 times the and the second for a star 200 times the mass of the sun—to analyze the products of these explosions. They found that 0.051 and 55 (where one solar mass is the mass of our sun) of oxygen were created in the first and second , respectively, due to the very high temperatures and densities reached.

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Astronomers have performed a multiwavelength study of nine open cluster candidates. As a result, they found that all of them are genuine open clusters and characterized by their fundamental properties. The finding was reported in a research paper published Feb. 21 on the arXiv pre-print server.

Open clusters (OCs), formed from the same giant molecular cloud, are groups of stars loosely gravitationally bound to each other. So far, more than 1,000 of them have been discovered in the Milky Way, and scientists are still looking for more, hoping to find a variety of these stellar groupings.

Expanding the list of known and studying them in detail could be crucial for improving our understanding of the formation and evolution of our galaxy.

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For decades, scientists have relied on electrodes and dyes to track the electrical activity of living cells. Now, engineers at the University of California San Diego have discovered that quantum materials just a single atom thick can do the job—using only light.

A new study, published in Nature Photonics, shows that these ultra-thin semiconductors, which trap electrons in two dimensions, can be used to sense the biological electrical activity of living cells with high speed and resolution.

Scientists have continually been seeking better ways to track the electrical activity of the body’s most excitable cells, such as neurons, heart muscle fibers and pancreatic cells. These tiny electrical pulses orchestrate everything from thought to movement to metabolism, but capturing them in real time and at large scales has remained a challenge.

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Programmable metasurfaces (PMs), also sometimes referred to as reconfigurable intelligence surfaces, are smart surfaces that reflect wireless signals, but can also dynamically manipulate electromagnetic waves in real-time. These surfaces are highly advantageous for the development of many cutting-edge technologies, including advanced sensing and wireless communication systems.

Researchers at Southeast University, University of Sannio and Université Paris-Saclay-CNRS showed that a specific PM, known as a space-and-time-coding metasurface, could simultaneously support both sensing and wireless communication.

Their paper, published in Nature Communications, introduces two promising schemes for integrated sensing and communication (ISAC) that rely on a space-and-time-coding metasurface they developed.

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Light was long considered to be a wave, exhibiting the phenomenon of interference in which ripples like those in water waves are generated under specific interactions. Light also bends around corners, resulting in fringing effects, which is termed diffraction. The energy of light is associated with its intensity and is proportional to the square of the amplitude of the electric field, but in the photoelectric effect, the energy of emitted electrons is found to be proportional to the frequency of radiation.

This observation was first made by Philipp Lenard, who did initial work on the photoelectric effect. In order to explain this, in 1905, Einstein suggested in Annalen der Physik that light comprises quantized packets of , which came to be called photons. It led to the theory of the dual nature of light, according to which light can behave like a wave or a particle depending on its interactions, paving the way for the birth of quantum mechanics.

Although Einstein’s work on photons found broader acceptance, eventually leading to his Nobel Prize in Physics, Einstein was not fully convinced. He wrote in a 1951 letter, “All the 50 years of conscious brooding have brought me no closer to the answer to the question: What are light quanta?”

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Researchers at NYU Abu Dhabi (NYUAD) have developed an innovative tool that enhances surgeons’ ability to detect and remove cancer cells during cryosurgery, a procedure that uses extreme cold to destroy tumors. This breakthrough technology involves a specialized nanoscale material that illuminates cancer cells under freezing conditions, making them easier to distinguish from healthy tissue and improving surgical precision.

Detailed in the study “Freezing-Activated Covalent Organic Frameworks for Precise Fluorescence Cryo-Imaging of Cancer Tissue” in the Journal of the American Chemical Society, the Trabolsi research group at NYUAD designed a unique nanoscale covalent organic framework (nTG-DFP-COF) that responds to by increasing its fluorescence. This makes it possible to clearly differentiate between cancerous and healthy tissues during surgery.

The material, prepared by Gobinda Das, Ph.D., a researcher in the Trabolsi Research Group at NYUAD, is engineered to be biocompatible and low in toxicity, ensuring it interacts safely within the body. Importantly, it maintains its fluorescent properties even in the presence of ice crystals inside cells, allowing monitoring during cryosurgery.

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