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Category: quantum physics – Page 293

Plasmonics Breakthrough Unleashes New Era of Quantum Technologies

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

Future Organic Computing

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.

What You Need to Know to Build a Quantum Implementation Roadmap with the Arrival of Quantum Error Correction

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.

More recently, industry roadmaps have not only openly embraced QEC, but hardware teams have also started to show convincing demonstrations that it can really be implemented to address the fundamental roadblock for quantum computing – hardware noise and error. This rapid progress has upended notions that the sector could be stagnating in so-called NISQ era, and reset expectations among observers.

Multiverse raises $27M for quantum software targeting LLM leviathans

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.”

Quantum Computing Breakthrough: Stable Qubits at Room Temperature

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.

Weird electron behavior gets even weirder: Charge fractionalization observed spectroscopically

A research team led by the Paul Scherrer Institute has spectroscopically observed the fractionalization of electronic charge in an iron-based metallic ferromagnet. Experimental observation of the phenomenon is not only of fundamental importance. Since it appears in an alloy of common metals at accessible temperatures, it holds potential for future exploitation in electronic devices. The discovery is published in the journal Nature.

Basic quantum mechanics tells us that the fundamental unit of charge is unbreakable: the is quantized. Yet, we have come to understand that exceptions exist. In some situations, electrons arrange themselves collectively as if they were split into independent entities, each possessing a fraction of the charge.

The fact that charge can be fractionalized is not new: it has been observed experimentally since the early 1980s with the Fractional Quantum Hall Effect. In this, the conductance of a system in which electrons are confined to a two-dimensional plane is observed to be quantized in fractional—rather than integer—units of charge.

SBU Research Team Takes Major Step Toward a Functioning Quantum Internet

A team of Stony Brook University physicists and their collaborators have taken a significant step toward the building of a quantum internet testbed by demonstrating a foundational quantum network measurement that employs room-temperature quantum memories. Their findings are described in a paper published in the Nature journal Quantum Information.

Research with quantum computing and quantum networks is taking place around the world in the hopes of developing a quantum internet, a network of quantum computers, sensors, and communication devices that will create, process, and transmit quantum states and entanglement. It is anticipated to enhance society’s internet system and provide certain services and securities that the current internet does not have.

The field of quantum information combines aspects of physics, mathematics, and classical computing to use quantum mechanics to solve complex problems much faster than classical computing and to transmit information in an unhackable manner. While the vision of a quantum internet system is growing and the field has seen a surge in interest from researchers and the public at large, accompanied by a steep increase in the capital invested, an actual quantum internet prototype has not been built.

Researchers’ approach may protect quantum computers from attacks

Quantum computers, which can solve several complex problems exponentially faster than classical computers, are expected to improve artificial intelligence (AI) applications deployed in devices like autonomous vehicles; however, just like their predecessors, quantum computers are vulnerable to adversarial attacks.

A team of University of Texas at Dallas researchers and an industry collaborator have developed an approach to give quantum computers an extra layer of protection against such attacks. Their solution, Quantum Noise Injection for Adversarial Defense (QNAD), counteracts the impact of attacks designed to disrupt inference—AI’s ability to make decisions or solve tasks.

The team will present research that demonstrates the method at the IEEE International Symposium on Hardware Oriented Security and Trust held May 6–9 in Washington, D.C.