Toggle light / dark theme

A team of physicists has mapped how electron energies vary from region to region in a particular quantum state with unprecedented clarity. This understanding reveals an underlying mechanism by which electrons influence one another, termed quantum “hybridization,” that had been invisible in previous experiments.

The findings, the work of scientists at New York University, the Lawrence Berkeley National Laboratory, Rutgers University, and MIT, are reported in the journal Nature Physics.

“This sort of relationship is essential to understanding a quantum electron system—and the foundation of all movement—but had often been studied from a theoretical standpoint and not thought of as observable through experiments,” explains Andrew Wray, an assistant professor in NYU’s Department of Physics and one of the paper’s co-authors. “Remarkably, this work reveals a diversity of energetic environments inside the same material, allowing for comparisons that let us spot how electrons shift between states.”

In the quantum realm, under some circumstances and with the right interference patterns, light can pass through opaque media.

This feature of is more than a mathematical trick; optical quantum memory, optical storage and other systems that depend on interactions of just a few photons at a time rely on the process, called electromagnetically induced transparency, also known as EIT.

Because of its usefulness in existing and emerging quantum and optical technologies, researchers are interested in the ability to manipulate EIT without the introduction of an outside influence, such as additional photons that could perturb the already delicate system. Now, researchers at the McKelvey School of Engineering at Washington University in St. Louis have devised a fully contained optical system that can be used to turn transparency on and off, allowing for a measure of control that has implications across a wide variety of applications.

To detect the quantum friction of empty space, scientists are going for a spin.

A twirling nanoparticle, suspended in a laser beam inside of a vacuum, can measure tiny twisting forces, making it the most sensitive detector of torque yet created. Researchers say the device could one day detect an elusive quantum effect called vacuum friction.

The suspended nanoparticle can spin more than 300 billion times a minute. “This is the fastest human-made rotor in the world,” says physicist Tongcang Li of Purdue University in West Lafayette, Ind.

In October 2019, Google made a big announcement. It announced its 53-qubit quantum computer named Sycamore had achieved ‘quantum supremacy.’ That’s when quantum computers can complete tasks exponentially more quickly than their classical counterparts. In this case, Google said its quantum machine completed a task in 200 seconds that would have taken the world’s most powerful computer 10,000 years to complete. IBM, another major player in quantum computing, took issue with the findings. Either way, it was a big milestone in quantum computing, and it’s leading to a lot of hype in the field. Here’s how quantum computing works, and how it could change everything from Wall Street to Big Pharma and beyond.

» Subscribe to CNBC: https://cnb.cx/SubscribeCNBC
» Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision
» Subscribe to CNBC Classic: https://cnb.cx/SubscribeCNBCclassic

About CNBC: From ‘Wall Street’ to ‘Main Street’ to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more.

Connect with CNBC News Online
Get the latest news: https://www.cnbc.com/
Follow CNBC on LinkedIn: https://cnb.cx/LinkedInCNBC
Follow CNBC News on Facebook: https://cnb.cx/LikeCNBC
Follow CNBC News on Twitter: https://cnb.cx/FollowCNBC
Follow CNBC News on Instagram: https://cnb.cx/InstagramCNBC

#CNBC

The hype over quantum computers, explained.

The mystery of why quantum matter jumps from a wave-like state to a well-defined particle when it is observed has puzzled scientists for nearly a 100 years.

Known as ‘the measurement problem’ it is widely seen as the major complication in quantum theory and has led even well-respected scientists to suggest that the human mind may be having some kind of telepathic influence on the fabric of the universe — our thoughts actually shaping reality around us.

But physicist Jonathan Kerr, who has studied quantum mechanics for 35 years from his cottage in Surrey, believes he has solved the riddle, and the answer is more prosaic than some might have hoped.

Interesting research paper on a new nanobot technology. I’m watching for ways in which suitable substrates for mind uploading can be constructed, and DNA self-guided assembly has potential.

Here are some excerpts and a weblink to the paper:

“…Chemical approaches have opened synthetic routes to build dynamic materials from scratch using chemical reactions, ultimately allowing flexibility in design…”

… As a realization of this concept, we engineered a mechanism termed DASH—DNA-based Assembly and Synthesis of Hierarchical materials—providing a mesoscale approach to create dynamic materials from biomolecular building blocks using artificial metabolism. DASH was developed on the basis of nanotechnology that uses DNA as a generic material ranging from nanostructures to hydrogels, for enzymatic substrates, and as linkers between nanoparticles…”

“…Next, to illustrate the potential uses of self-generated materials, we created various hybrid functional materials from the DASH patterns. The DASH patterns served as a versatile mesoscale scaffold for a diverse range of functional nanomaterials beyond DNA, ranging from proteins to inorganic nanoparticles, such as avidin, quantum dots, and DNA-conjugated gold nanoparticles (AuNPs) (Fig. 4D, figs. S37 and S38, and Supplementary Text). The generated patterns were also rendered functional with catalytic activity when conjugated with enzymes (figs. S39 and S40 and Supplementary Text). We also showed that the DNA molecules within the DASH patterns retained the DNA’s genetic properties and that, in a cell-free fashion, the materials themselves successfully produced green fluorescent proteins (GFPs) by incorporating a reporter gene for sfGFP (Fig. 4E and figs. S9 and S41) (40). The protein production capability of the materials established the foundation for future cell-free production of proteins, including enzymes, in a spatiotemporally controlled manner.

…” Our implementation of the concept, DASH, successfully demonstrated various applications of the material. We succeeded in constructing machines from this novel dynamic biomaterial with emergent regeneration, locomotion, and racing behaviors by programming them as a series of FSAs. Bottom-up design based on bioengineering foundations without restrictions of life fundamentally allowed these active and programmable behaviors. It is not difficult to envision that the material could be integrated as a locomotive ele-ment in biomolecular machines and robots. The DASH patterns could be easily recognized by naked eyes or smartphones, which may lead to better detection technologies that are more feasible in point-of-care settings. DASH may also be used as a template for other materials, for example, to create dynamic waves of protein expression or nanoparticle assemblies. In addition, we envision that further expansion of artificial metabolism may be used for self-sustaining structural components and self-adapting substrates for chemical production pathways. Ultimately, our material may allow the construction of self-reproducing machines through the production of enzymes from generated materials that, in turn, reproduce the material. Our biomaterial powered by artificial metabolism is an important step toward the creation of “artificial” biological systems with dynamic, life-like capabilities.”…


Metabolism is a key process that makes life alive—the combination of anabolism and catabolism sustains life by a continuous flux of matter and energy. In other words, the materials comprising life are synthesized, assembled, dissipated, and decomposed autonomously in a controlled, hierarchical manner using biological processes. Although some biological approaches for creating dynamic materials have been reported, the construction of such materials by mimicking metabolism from scratch based on bioengineering has not yet been achieved. Various chemical approaches, especially dissipative assemblies, allow the construction of dynamic materials in a synthetic fashion, analogous to part of metabolism. Inspired by these approaches, here, we report a bottom-up construction of dynamic biomaterials powered by artificial metabolism, representing a combination of irreversible biosynthesis and dissipative assembly processes. An emergent locomotion behavior resembling a slime mold was programmed with this material by using an abstract design model similar to mechanical systems. Dynamic properties, such as autonomous pattern generation and continuous polarized regeneration, enabled locomotion along the designated tracks against a constant flow. Furthermore, an emergent racing behavior of two locomotive bodies was achieved by expanding the program. Other applications, including pathogen detection and hybrid nanomaterials, illustrated further potential use of this material. Dynamic biomaterials powered by artificial metabolism could provide a previously unexplored route to realize “artificial” biological systems with regenerating and self-sustaining characteristics.

Characteristic properties of life, such as dynamic self-generation of organisms, are sustained by metabolism. Using a flux of matter and energy, molecules are irreversibly synthesized from ingredients and then further dynamically assembled into macromolecules and beyond by series of biological reactions, resulting in the structural hierarchy of life’s materials (2–4). Mimicking metabolism as a material generation system may lead to the engineering of novel dynamic biomaterials with characteristic properties of life. Although various approaches have been reported to bioengineer such dynamic materials, mimicking metabolism from the ground up is still under development. For instance, engineered living materials allow material generation by life (5, 6). However, this approach relies on external living systems, such as cells, to generate the material. Similarly, other dynamic biomaterials, such as active cytoskeletons, directly use already-existing metabolism designed by life (7–10).

A team of researchers affiliated with several institutions in France and one in the U.S. has found that objects of different mass dropped in space fall at a rate within two-trillionths of a percent of each other. In their paper published in the journal Physical Review Letters, the group describes their satellite-based physics study and what they learned from it.

Most everyone has heard the story of Galileo dropping two different sized cannon balls from the Tower of Pisa in the 17th century to demonstrate his theory that in the absence of air resistance, two objects will fall at the same rate. Einstein later refined the theory and added it to his Theory of General Relativity. Since that time, many people have tested the theory, and it has always been confirmed. Still, some physicists believe that there are bound to be exceptions to the because of the disconnect between general relativity and quantum mechanics. In this new effort, the team in France devised an experiment to measure two objects dropping together for two years—specifically, two chunks of metal in a satellite—to see if they could spot an exception.

The two chunks of a platinum-rhodium alloy and a mass of titanium-aluminum-vanadium alloy were installed in a device the team called the Twin-Space Accelerometer for Gravity Experiment (T-SAGE), which was on board a satellite with the acronym MICROSCOPE. The was launched into space aboard a Soyuz rocket from the Guiana Space Centre ELS.

IBM announced a new 28-qubit quantum system backend, Raleigh and achieved a system demonstrating Quantum Volume of 32. This is double the quantum volume of 16 of a prior IBM system.

Quantum Volume (QV) is a hardware-agnostic metric that we defined to measure the performance of a real quantum computer. Each system IBM develop brings us along a path where complex problems will be more efficiently addressed by quantum computing; therefore, the need for system benchmarks is crucial, and simply counting qubits is not enough. Quantum Volume takes into account the number of qubits, connectivity, and gate and measurement errors. Material improvements to underlying physical hardware, such as increases in coherence times, reduction of device crosstalk, and software circuit compiler efficiency, can point to measurable progress in Quantum Volume, as long as all improvements happen at a similar pace.