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Categories: Physics: General, Physics: Quantum Computing

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Using a trapped-ion quantum computer, the research team witnessed the interference pattern of a single atom caused by a 'conical intersection'. Conical intersections are known throughout chemistry and are vital to rapid photo-chemical processes such as light harvesting in human vision or photosynthesis.

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A new approach to quantum light emitters generates a stream of circularly polarized single photons, or particles of light, that may be useful for a range of quantum information and communication applications. A team stacked two different, atomically thin materials to realize this chiral quantum light source.

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The measurement values determined in sufficiently precise measurements of physical systems will vary based on the relation between the past and the future of a system determined by its interactions with the meter. This finding may explain why quantum experiments often produce paradoxical results that can contradict our common-sense idea of physical reality.

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A researcher made a discovery that could change our understanding of the universe. He reveals that there is a range in which fundamental constants can vary, allowing for the viscosity needed for life processes to occur within and between living cells. This is an important piece of the puzzle in determining where these constants come from and how they impact life as we know it.

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A research group has established key early steps in the conversion of aromatic molecules, a major constituent of traffic and other urban volatile emissions, into aerosol. Their findings increase understanding of the chemical processes that degrade urban air quality and influence climate change.

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A team has created an artificial quantum magnet featuring a quasiparticle made of entangled electrons, the triplon.

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Researchers have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor uses programmable neutral atom arrays and is capable of simulating fermionic models in a hardware-efficient manner using fermionic gates. The team demonstrated how the new quantum processor can efficiently simulate fermionic models from quantum chemistry and particle physics.

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Researchers used topological data analysis to improve the predictions of physical properties of amorphous materials by machine-learning algorithms. This may allow for cheaper and faster calculations of material properties.

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Physicists use a 350-year-old theorem that explains the workings of pendulums and planets to reveal new properties of light waves.

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Scientists have observed novel ergodicity-breaking in C60, a highly symmetric molecule composed of 60 carbon atoms arranged on the vertices of a 'soccer ball' pattern (with 20 hexagon faces and 12 pentagon faces). Their results revealed ergodicity breaking in the rotations of C60. Remarkably, they found that this ergodicity breaking occurs without symmetry breaking and can even turn on and off as the molecule spins faster and faster. Understanding ergodicity breaking can help scientists design better-optimized materials for energy and heat transfer.

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In 1956, theoretical physicist David Pines predicted that electrons in a solid can do something strange. While they normally have a mass and an electric charge, Pines asserted that they can combine to form a composite particle that is massless, neutral, and does not interact with light. He called this particle a 'demon.' Now, researchers have finally found Pines' demon 67 years after it was predicted.

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Quantum physicists have successfully simulated super diffusion in a system of interacting quantum particles on a quantum computer. This is the first step in doing highly challenging quantum transport calculations on quantum hardware and, as the hardware improves over time, such work promises to shed new light in condensed matter physics and materials science.

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Materials are often considered to be one phase, but many engineering materials contain two or more phases, improving their properties and performance. These two-phase materials have inclusions, called precipitates, embedded in the microstructure. Alloys, a combination of two or more types of metals, are used in many applications, like turbines for jet engines and light-weight alloys for automotive applications, because they have very good mechanical properties due to those embedded precipitates. The average precipitate size, however, tends to increase over time-in a process called coarsening-which results in a degradation of performance for microstructures with nanoscale precipitates.

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In the intricate realm of wave turbulence, where predictability falters and chaos reigns, a groundbreaking study has emerged. The new research explores the heart of wave turbulence using an ultracold quantum gas, revealing new insights that could advance our understanding of non-equilibrium physics and have significant implications for various fields.

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Research is underway around the world to find alternatives to our current electronic computing technology, as great, electron-based systems have limitations. A new way of transmitting information is emerging from the field of magnonics: instead of electron exchange, the waves generated in magnetic media could be used for transmission, but magnonics-based computing has been (too) slow to date. Scientists have now discovered a significant new method: When the intensity is increased, the spin waves become shorter and faster -- another step towards magnon computing.

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Researchers have found a way to control the interaction of light and quantum 'spin' in organic semiconductors, that works even at room temperature.

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Graphene nanoribbons have outstanding properties that can be precisely controlled. Researchers have succeeded in attaching electrodes to individual atomically precise nanoribbons, paving the way for precise characterization of the fascinating ribbons and their possible use in quantum technology.

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A team of scientists developed a new quantum-mechanics-based approach to predict metal ductility. The team demonstrated its effectiveness on refractory multi-principal-element alloys.

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Scientists have made a significant advance in developing alternative materials for the high-speed memory chips that let computers access information quickly and that bypass the limitations of existing materials. They have discovered a way that allows them to make sense of previously hard-to-read data stored in these alternative materials, known as antiferromagnets.

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Using scaffolds of folded DNA, engineers assembled arrays of quantum rods with desirable photonic properties that could enable them to be used as highly efficient micro-LEDs for televisions or virtual reality devices.