Lifeboat Foundation

Quantum information scientists are always on the hunt for winning combinations of materials, materials that can be manipulated at the molecular level to reliably store and transmit information. Following a recent proof-of-principle demonstration, researchers are adding a new combination of compounds to the quantum materials roster.

In a study reported in ACS Photonics, researchers combined two nanosized structures—one made of diamond and one of lithium niobate—onto a single chip. They then sent light from the diamond to the lithium niobate and measured the fraction of light that successfully made it across.

The greater that fraction, the more efficient the coupling of the materials, and the more promising the pairing as a component in quantum devices.

A nitrogen-vacancy (NV) center is a defect in the crystal structure of diamond, where a nitrogen atom replaces a carbon atom in the diamond lattice and a neighboring site in the lattice is vacant. This and other fluorescent defects in diamond, known as color centers, have attracted researchers’ attention owing to their quantum properties, such as single-photon emission at room temperature and with long coherence time. Their many applications include quantum information encoding and processing, and cell marking in biological studies.

Microfabrication in diamond is technically difficult, and nanodiamonds with color centers have been embedded in custom-designed structures as a way of integrating these quantum emitters into photonic devices. A study conducted at the University of São Paulo’s São Carlos Institute of Physics (IFSC-USP) in Brazil has established a method for this, as described in an article published in the journal Nanomaterials.

“We demonstrated a method of embedding fluorescent nanodiamonds in microstructures designed for this purpose, using two-photon polymerization [2PP],” Cleber Mendonça, a professor at IFSC-USP and last author of the article, told Agência FAPESP. “We studied the ideal concentration of nanodiamond in the photoresist to achieve structures with at least one fluorescent NV center and good structural and optical quality.” The photoresist is a light-sensitive material used in the fabrication process to transfer nanoscale patterns to the substrate.

Engelbart grew up on a small farm in Southeast Portland where his father operated a radio store.

He graduated from Franklin High School in 1942 and enrolled at Oregon State College, now called Oregon State University, to study electrical engineering.

When World War II interrupted his studies, he spent two years working as a Navy radio and radar technician in the Philippines.

EPFL researchers have developed a hybrid device that significantly improves existing, ubiquitous laser technology.

The team at EPFL’s Photonic Systems Laboratory (PHOSL) has developed a chip-scale laser source that enhances the performance of semiconductor lasers while enabling the generation of shorter wavelengths. This pioneering work, led by Professor Camille Brès and postdoctoral researcher Marco Clementi from EPFL’s School of Engineering represents a significant advance in the field of photonics, with implications for telecommunications, metrology, and other high-precision applications.

Innovative integration for improved coherence and visibility.

A groundbreaking study introduces advanced nanometric optomechanical cavities, paving the way for more efficient quantum networks and improving quantum computing and communication technologies.

The ability to transmit information coherently in the band of the electromagnetic spectrum from microwave to infrared is vitally important to the development of the advanced quantum networks used in computing and communications.

A study conducted by researchers at the State University of Campinas (UNICAMP) in Brazil, in collaboration with colleagues at ETH Zurich in Switzerland and TU Delft in the Netherlands, focused on the use of nanometric optomechanical cavities for this purpose. These nanoscale resonators promote interaction between high-frequency mechanical vibrations and infrared light at wavelengths used by the telecommunications industry.

Bulky and hard to wrangle, molecules have long defied physicists’ attempts to lure them into a state of controlled quantum entanglement, whereby the molecules are intimately linked even at a distance.

Now, for the first time, two separate teams have succeeded in entangling pairs of ultra-cold molecules using the same method: microscopically precise optical ‘tweezer traps’

Quantum entanglement is a bizarre yet fundamental phenomenon of the quantum realm that physicists are trying to tap into to create the first, commercial quantum computers.

As part of the larger multi-billion CHIPS and Science Act, the U.S. Department of Commerce has authorized $35M in funding to upgrade the BAE Systems chip factory.

To help boost domestic production of microchips, the U.S. Government has authorized $35M in funding to BAE Systems in New Hampshire.

Legacy companies are working with suppliers, spanning from manufacturers of battery materials to chip producers, to reduce costs.

Expanding globally, Chinese EV makers gain an advantage, utilizing supply chain control to offer competitive pricing.

Is it possible to invent a computer that computes anything in a flash? Or could some problems stump even the most powerful of computers? How complex is too complex for computation? The question of how hard a problem is to solve lies at the heart of an important field of computer science called computational complexity. Computational complexity theorists want to know which problems are practically solvable using clever algorithms and which problems are truly difficult, maybe even virtually impossible, for computers to crack. This hardness is central to what’s called the P versus NP problem, one of the most difficult and important questions in all of math and science.

This video covers a wide range of topics including: the history of computer science, how transistor-based electronic computers solve problems using Boolean logical operations and algorithms, what is a Turing Machine, the different classes of problems, circuit complexity, and the emerging field of meta-complexity, where researchers study the self-referential nature of complexity questions.

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