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Jun 13, 2024

Physicists use machine learning techniques to search for exotic-looking collisions that could indicate new physics

Posted by in categories: particle physics, robotics/AI

One of the main goals of the LHC experiments is to look for signs of new particles, which could explain many of the unsolved mysteries in physics. Often, searches for new physics are designed to look for one specific type of new particle at a time, using theoretical predictions as a guide. But what about searching for unpredicted—and unexpected—new particles?

Jun 13, 2024

Researchers tune Casimir force using magnetic fields

Posted by in category: physics

Research teams led by Prof. Zeng Changgan and Zhang Hui from the Hefei National Laboratory for Physical Sciences at the Microscale, the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences have achieved a reversible transition from the Casimir attraction to repulsion under magnetic field control by using a magnetic fluid as an intermediate medium. Their study is published in Nature Physics.

Jun 13, 2024

Quantum data assimilation offers new approach to weather prediction

Posted by in categories: mathematics, quantum physics

Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of Earth sciences, particularly in numerical weather prediction (NWP).

Jun 13, 2024

Tunable entangled photon-pair generation in a liquid crystal

Posted by in categories: engineering, quantum physics

One of the most remarkable features discovered in these experiments is the unprecedented tunability of the two-photon state, achieved by manipulating the LC molecular orientation. By re-orienting the molecules through the application of an electric field, we can dynamically switch the polarization state of the generated photon pairs. This level of control over the photon pairs’ polarization properties is a crucial advancement, offering opportunities for quantum-state engineering in the sources with pixelwise-tunable optical properties, both linear and nonlinear.

Alternatively, we can manipulate the polarization state by implementing a molecular orientation twist along the sample. This approach adds versatility to the design and utilization of LC-based photon-pair sources. Moreover, a strong twist along the sample can markedly increase the efficiency of a macroscopically large source, similar to the periodic poling of bulk crystals and waveguides, but much simpler technologically, as the structure is self-assembled and may be tuned with temperature and electric field39. Owing to their nonlinear coefficient comparable to the best nonlinear crystals, such as lithium niobate, and high damage threshold, FNLCs are perfectly suitable for practical applications. Furthermore, high-quality LC devices such as LC displays are made on an industrial scale, which, combined with our work, opens a path to scalable and cheap production of quantum light sources while exceeding the existing ones in efficiency and functionality.

In the future, the electric-field tuning could be expanded to multi-pixel devices, which have the potential to generate tunable high-dimensional entanglement and multiphoton states. Furthermore, FNLCs can self-assemble in a variety of complex topological structures, which are expected to emit photon pairs in complex, spatially varying beams (structured light), such as vector and vortex beams40. The liquid nature of FNLCs opens a path to their integration with existing optical platforms such as fibres41, waveguides42 and metasurfaces43.

Jun 13, 2024

A first look inside radium’s solid-state chemistry

Posted by in categories: chemistry, particle physics

For the first time in history, scientists have measured radium’s bonding interactions with oxygen atoms in an organic molecule. Scientists have not measured this bonding before because radium-226 is available only in small amounts and it is highly radioactive (radium is one million times more radioactive than the same mass of uranium), making it challenging to work with.

Jun 13, 2024

Biomedicine Breakthrough: Complete Gene Insertion Now Possible in Human Cells

Posted by in categories: biotech/medical, genetics

The gene-editing technique employs prime editors along with advanced enzymes known as recombinases. This method has the potential to lead to universal gene therapies that are effective for conditions like cystic fibrosis.

Researchers at the Broad Institute of MIT and Harvard have enhanced a gene-editing technology that can now efficiently insert or replace entire genes in human cell genomes, potentially making it suitable for therapeutic uses.

The advance, from the lab of Broad core institute member David Liu, could one day help researchers develop a single gene therapy for diseases such as cystic fibrosis that are caused by one of hundreds or thousands of different mutations in a gene. Using this new approach, they would insert a healthy copy of the gene at its native location in the genome, rather than having to create a different gene therapy to correct each mutation using other gene-editing approaches that make smaller edits.

Jun 13, 2024

Quantum Teleportation Just Got Real: Achieving 90% Fidelity Amidst Noise

Posted by in category: quantum physics

Scientists have advanced quantum teleportation by mitigating noise interference through a novel method involving hybrid entanglement, achieving close to 90% fidelity in teleporting quantum states, which could significantly enhance secure quantum communication.

A research team led by Academician Guangcan Guo from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), in collaboration with the research team at the University of Turku, Finland, successfully overcame environmental noise to achieve high-fidelity quantum teleportation by utilizing multipartite hybrid entanglement. Their findings were published recently in the journal Science Advances.

Overcoming Challenges in Quantum Teleportation.

Jun 13, 2024

Webb Telescope Captures Massive Asteroid Collision in Neighboring Star System

Posted by in categories: asteroid/comet impacts, existential risks

New observations spotlight the volatile processes that shape star systems like our own, offering a unique glimpse into the primordial stages of planetary formation.

Astronomers have captured a snapshot of a giant asteroid collision in Beta Pictoris, revealing insights into early planetary formation. The study, using data from the James Webb and Spitzer Space Telescopes, tracked dust changes around the star. The findings suggest a massive collision 20 years ago, altering our understanding of this young star system’s development.

Massive collision in beta pictoris star system.

Jun 13, 2024

Ultrafast Photonic Chip Transforms Machine Vision and Edge Intelligence

Posted by in category: robotics/AI

Researchers have developed a new intelligent photonic sensing-computing chip that can process, transmit and reconstruct images of a scene within nanoseconds. Credit: Wei Wu, Tsinghua University.

Researchers have created a photonic chip capable of processing images at nanosecond speeds, significantly faster than current methods. This chip enhances edge intelligence by integrating AI analysis directly into optical processing, potentially transforming applications such as autonomous driving.

Researchers have demonstrated a new intelligent photonic sensing-computing chip that can process, transmit and reconstruct images of a scene within nanoseconds. This advance opens the door to extremely high-speed image processing that could benefit edge intelligence for machine vision applications such as autonomous driving, industrial inspection and robotic vision.

Jun 13, 2024

Researchers ask industry for ways to guarantee the performance and accuracy of artificial intelligence (AI)

Posted by in categories: mathematics, military, robotics/AI

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement (HR001124S0029) for the Artificial Intelligence Quantified (AIQ) project.

AIQ seeks to find ways of assessing and understanding the capabilities of AI to enable mathematical guarantees on performance. Successful use of military AI requires ensuring safe and responsible operation of autonomous and semi-autonomous technologies.

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