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Categories: Computer Science: Quantum Computers, Mathematics: Statistics

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Researchers have shown how energy disappears in quantum turbulence, paving the way for a better understanding of turbulence in scales ranging from the microscopic to the planetary. The team's findings demonstrate a new understanding of how wave-like motion transfers energy from macroscopic to microscopic length scales, and their results confirm a theoretical prediction about how the energy is dissipated at small scales. In the future, an improved understanding of turbulence beginning on the quantum level could allow for improved engineering in domains where the flow and behavior of fluids and gases like water and air is a key question. Understanding that in classical fluids will help scientists do things like improve the aerodynamics of vehicles, predict the weather with better accuracy, or control water flow in pipes. There is a huge number of potential real-world uses for understanding macroscopic turbulence.

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Practical carbon capture technologies are still in the early stages of development, with the most promising involving a class of compounds called amines that can chemically bind with carbon dioxide. Researchers now deploy an algorithm to study amine reactions through quantum computing. An existing quantum computer cab run the algorithm to find useful amine compounds for carbon capture more quickly, analyzing larger molecules and more complex reactions than a traditional computer can.

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Physicists have published an array of experimental evidence showing that the ordered magnetic arrangement of electrons in crystals of iron-germanium plays an integral role in bringing about an ordered electronic arrangement called a charge density wave that the team discovered in the material last year.

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Researchers show that individual atoms can be caught and thrown using light. This is the first time an atom has been released from a trap -- or thrown -- and then caught by another trap. This technology could be used in quantum computing applications.

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A new method for predicting the behavior of quantum devices provides a crucial tool for real-world applications of quantum technology.

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Researchers have succeeded in simultaneously cooling the motion of a tiny glass sphere in two dimensions to the quantum ground-state. This represents a crucial step towards a 3D ground-state cooling of a massive object and opens up new opportunities for the design of ultra-sensitive sensors.

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Researchers have mapped the sparse life hidden away in salt domes, rocks and crystals at Salar de Pajonales at the boundary of the Chilean Atacama Desert and Altiplano. Then they trained a machine learning model to recognize the patterns and rules associated with their distributions so it could learn to predict and find those same distributions in data on which it was not trained. In this case, by combining statistical ecology with AI/ML, the scientists could locate and detect biosignatures up to 87.5 percent of the time and decrease the area needed for search by up to 97 percent.

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Scientists develop method for chemically modifying nanoscale tubes of carbon atoms, so they can host spinning electrons to serve as stable quantum bits in quantum technologies.

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Quantum effects can play an important role in chemical reactions. Physicists have now observed a quantum mechanical tunneling reaction in experiments. The observation can also be described exactly in theory. The scientists provide an important reference for this fundamental effect in chemistry. It is the slowest reaction with charged particles ever observed.

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A new form of heterostructure of layered two-dimensional (2D) materials may enable quantum computing to overcome key barriers to its widespread application, according to an international team of researchers.

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Tin-vacancy (Sn-V) centers in diamond have the potential to function as quantum nodes in quantum networks to transmit information. However, they pose limitations while showing optical properties to generate quantum entanglement. Researchers have now overcome this challenge by generating stable Sn-V centers that can produce photons with nearly identical frequencies and linewidths, paving the way for the advancement of Sn-V centers as a quantum-light matter interface.

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In the very near future, quantum computers are expected to revolutionize the way we compute, with new approaches to database searches, AI systems, simulations and more. But to achieve such novel quantum technology applications, photonic integrated circuits which can effectively control photonic quantum states -- the so-called qubits -- are needed. Physicists have made a breakthrough in this effort: for the first time, they demonstrated the controlled creation of single-photon emitters in silicon at the nanoscale.

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Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.

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One of the striking aspects of the quantum world is that a particle, say, an electron, is also a wave, meaning that it exists in many places at the same time. Researchers make use of this property to develop a new type of tool -- the quantum twisting microscope (QTM) -- that can create novel quantum materials while simultaneously gazing into the most fundamental quantum nature of their electrons.

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Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

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A research team demonstrates a new way to use quantum sensors to tease out relationships between microscopic magnetic fields.

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Researchers propose a new approach to making qubits, the basic units in quantum computing, and controlling them to read and write data. The method is based on measuring and controlling the spins of atomic nuclei, using beams of light from two lasers of slightly different colors.

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Tenacity has taken a roadblock and turned it into a possible route to the development of quantum computing.

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New research in quantum computing is moving science closer to being able to overcome supply-chain challenges and restore global security during future periods of unrest.

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Scientists detect the quantum properties of collective optical-electronic oscillations on the nanoscale. The results could contribute to the development of novel computer chips.