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Superconductivity makes physics seem like magic. At cold temperatures, superconducting materials allow electricity to flow indefinitely while expelling outside magnetic fields, causing them to levitate above magnets. MRIs, maglev trains, and high-energy particle accelerators use superconductivity, which also plays a crucial role in quantum computing, quantum sensors, and quantum measurement science. Someday, superconducting electric grids might deliver power with unprecedented efficiency.

Challenges with Superconductors

Yet scientists lack full control over conventional superconductors. These solid materials often comprise multiple kinds of atoms in complicated structures that are difficult to manipulate in the lab. It’s even harder to study what happens when there’s a sudden change, such as a spike in temperature or pressure, that throws the superconductor out of equilibrium.

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“Somewhere between one and ten million qubits are needed for a fault-tolerant quantum computer, whereas IBM has only just realized a 1,200-qubit computer,” says Aoki.

While this approach isn’t limited to any specific platform for quantum computers, it does lend itself to trapped ions and neutral atoms since they don’t need to be cooled to cryogenic temperatures, which makes them much easier to connect.

Continue reading “A fresh approach to quantum computers based on atoms and photons” »

Quantum researchers uncover important implications for quantum technology.

In a recent publication in Nature Physics, the LSU Quantum Photonics Group offers fresh insights into the fundamental traits of surface plasmons, challenging the existing understanding. Based on experimental and theoretical investigations conducted in Associate Professor Omar Magaña-Loaiza’s laboratory, these novel findings mark a significant advancement in quantum plasmonics, possibly the most noteworthy in the past decade.

Rethinking Plasmonic Behavior

Organic computers are based on living, biological “wetware”. This video reports on organic computing research in areas including DNA storage and massively parallel DNA processing, as well as the potential development of biochips and entire biocomputers. If you are interested in this topic you may enjoy my book “Digital Genesis: The Future of Computing, Robots and AI”. You can download a free pdf sampler, here: http://www.explainingcomputers.com/ge… purchase “Digital Genesis” on Amazon.com here: http://amzn.to/2yVKStK Or purchase “Digital Genesis” on Amazon.co.uk here: http://www.amazon.co.uk/dp/1976098068… Links to specific research cited in the video are as follows: Professor William Ditto’s “Leech-ulator”: http://www.zdnet.com/article/us-scien… Development of transcriptor at Stanford: https://med.stanford.edu/news/all-new… Harvard Medical School DNA storage: https://hms.harvard.edu/news/writing–… Yaniv Erlich and Dina Zielinski DNA storage: http://pages.jh.edu/pfleming/bioinfor… Manchester University DNA parallel processing: http://rsif.royalsocietypublishing.or… All biocomputer and other CG animations included in this video were produced by and are copyright © Christopher Barnatt 2017. If you enjoy this video, you may like my previous report on quantum computing: • Quantum Computing 2017 Update More videos on computing-related topics can be found at: / explainingcomputers You may also like my ExplainingTheFuture channel at: / explainingthefuture.

(TQI) is the leading online resource dedicated exclusively to Quantum Computing.

Excitement about the era of Quantum Error Correction is reaching a fever pitch.

By Prof Michael J Biercuk, CEO and Founder, Q-CTRL

Excitement about the era of Quantum Error Correction (QEC) is reaching a fever pitch. This has been a topic under development for many years by academics and government agencies as QEC is a foundational concept in quantum computing.

Continue reading “What You Need to Know to Build a Quantum Implementation Roadmap with the Arrival of Quantum Error Correction” »

We’re still years away from seeing physical quantum computers break into the market with any scale and reliability, but don’t give up on deep tech just yet. The market for high-level quantum computer science — which applies quantum principles to manage complex computations in areas like finance and artificial intelligence — appears to be quickening its pace.

In the latest development, a startup out of San Sebastian, Spain, called Multiverse Computing has raised €25 million (or $27 million) in an equity funding round led by Columbus Venture Partners. The funding values the startup at €100 million ($108 million), and it will be used in two main areas. The startup plans to continue building out its existing business working with startups in verticals like manufacturing and finance, and it wants to forge new efforts to work more closely with AI companies building and operating large language models.

In both cases, the pitch is the same, said CEO Enrique Lizaso Olmos: “optimization.”

Researchers observe the quantum coherence of a quintet state with four electron spins in molecular systems for the first time at room temperature.

In a study published in Science Advances, a group of researchers led by Associate Professor Nobuhiro Yanai from Kyushu University’s Faculty of Engineering, in collaboration with Associate Professor Kiyoshi Miyata from Kyushu University and Professor Yasuhiro Kobori of Kobe University, reports that they have achieved quantum coherence at room temperature: the ability of a quantum system to maintain a well-defined state over time without getting affected by surrounding disturbances.

This breakthrough was made possible by embedding a chromophore, a dye molecule that absorbs light and emits color, in a metal-organic framework, or MOF, a nanoporous crystalline material composed of metal ions and organic ligands.

Wang, H., Xue, Y., Qu, Y. et al. Multidimensional Bose quantum error correction based on neural network decoder. npj Quantum Inf 8, 134 (2022). https://doi.org/10.1038/s41534-022-00650-z.

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