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Ultra-Thin Crystals Unlock New Possibilities in Electronics and Quantum Computing

In a study published in Nature Materials, scientists from the University of California, Irvine describe a new method to make very thin crystals of the element bismuth – a process that may aid in making the manufacturing of cheap flexible electronics an everyday reality.

“Bismuth has fascinated scientists for over a hundred years due to its low melting point and unique electronic properties,” said Javier Sanchez-Yamagishi, assistant professor of physics & astronomy at UC Irvine and a co-author of the study. “We developed a new method to make very thin crystals of materials such as bismuth, and in the process reveal hidden electronic behaviors of the metal’s surfaces.”

The bismuth sheets the team made are only a few nanometers thick. Sanchez-Yamagishi explained how theorists have predicted that bismuth contains special electronic states allowing it to become magnetic when electricity flows through it – something essential for quantum electronic devices based on the magnetic spin of electrons.

Generative AI Revolutionizes Quantum Computer Programming

Researchers have developed a machine learning model that generates quantum circuits from text descriptions, similar to how models like Stable Diffusion create images. This method, improves the efficiency and adaptability of quantum computing.

One of the most important recent developments in Machine Learning (ML) is generative models such as diffusion models. These include Stable Diffusion and Dall.e, which are revolutionizing the field of image generation. These models are able to produce high-quality images based on text descriptions.

“Our new model for programming quantum computers does the same but, instead of generating images, it generates quantum circuits based on the text description of the quantum operation to be performed,” explains Gorka Muñoz-Gil from the Department of Theoretical Physics of the University of Innsbruck, Austria.

First topological quantum simulator device in strong light-matter interaction regime to operate at room temperatures

Researchers at Rensselaer Polytechnic Institute have fabricated a device no wider than a human hair that will help physicists investigate the fundamental nature of matter and light. Their findings, published in the journal Nature Nanotechnology, could also support the development of more efficient lasers, which are used in fields ranging from medicine to manufacturing.

Physicist Sean Carroll and the biggest ideas in the universe

Sean Carroll, a physicist at Johns Hopkins University, spoke at the Bell House in Brooklyn, New York, in an event presented by New York City’s Secret Science Club. He talked about quantum field theory, which is now considered the definitive explanation of what reality is made of. So, pretty important stuff.

His new book The Biggest Ideas in the Universe: Quanta and Fields was released this week. It’s the second in a three-book series in which he goes through the important ideas of Physics for non-academics, but actually using and carefully explaining the equations that physicists use.

Quantum entanglement expands to city-sized networks

The delicate nature of quantum information means it does not travel well. A quantum Internet therefore needs devices known as quantum repeaters to swap entanglement between quantum bits, or qubits, at intermediate points. Several researchers have taken steps towards this goal by distributing entanglement between multiple nodes.

In 2020, for example, Xiao-Hui Bao and colleagues in Jian-Wei Pan’s group at the University of Science and Technology of China (USTC) entangled two ensembles of rubidium-87 atoms in vapour cells using photons that had passed down 50 km of commercial optical fibre. Creating a functional quantum repeater is more complex, however: “A lot of these works that talk about distribution over 50,100 or 200 kilometres are just talking about sending out entangled photons, not about interfacing with a fully quantum network at the other side,” explains Can Knaut, a PhD student at Harvard University and a member of the US team.

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