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Synthetic rotation brings black hole energy theory into lab, amplifying waves

More than half a century ago, Sir Roger Penrose envisioned a scenario in which energy could be extracted from a black hole spinning at extreme speeds. He proposed that a particle entering its ergosphere—a region of space dragged around by a rotating black hole—could split into two. One part could fall into the black hole while the other escaped carrying more energy than the original particle. Building on this theory, physicist Yakov Zel’dovich later predicted that a wave interacting with a sufficiently fast, rotating object could extract energy from it and become amplified.

Inspired by this theoretical construct, researchers at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC) have published a paper in Nature demonstrating a new approach to wave amplification through interaction with rotating bodies. Rather than mechanically rotating matter, however, the team engineered a radio-frequency device with properties modulated in space and time to mimic spinning. The device creates a synthetic form of ultrafast rotation that enables access to rotational speeds far beyond what can be achieved mechanically, allowing researchers to overcome limitations that have long hindered experimental studies of ultrafast rotational dynamics.

“Our approach facilitates a new method of wave–matter interaction in which waves with selected rotational properties extract energy from synthetic time-engineered rotation, producing a form of broadband selective amplification,” said principal investigator Andrea Alù, distinguished professor and Einstein Professor of Physics at the CUNY Graduate Center and founding director of the CUNY ASRC’s Photonics Initiative.

A Simple Search for Tiny Charges

Decades-old experiments have now been enlisted to set new bounds on the properties of a hypothetical particle that bears a tiny fraction of the electron’s charge.

One candidate for the mysterious dark matter believed to pervade the Universe is a hypothetical form of matter called millicharged particles (mCPs), which carry a tiny fraction of the charge on an electron. A research team has now proposed that such particles, if they exist, might be detected by letting them accumulate in simple laboratory-scale devices already used for creating and measuring electric charge [1, 2]. The team has shown that previous measurements made with such devices can be used to set new limits on the properties of mCPs.

The standard model of particle physics accommodates the 17 particles that make up regular, visible matter, but researchers are seeking to extend it to include gravity or dark matter or both. Dark matter seems to be demanded by astronomical observations and—aside from its gravitational interactions—should interact minimally, if at all, with light and with other matter.

Oratomic raises $300M to build a viable quantum computer that needs only 20K qubits

A number of companies, betting on various architectural approaches, are trying to build the first commercially viable quantum computer capable of significantly outperforming current systems.

Oratomic, which entered the race earlier this year with the goal of developing the first utility-scale quantum computer by the end of the decade, said this week that it has raised $300 million. The massive Series A round was co-led by ARCH Venture Partners, Spark Capital, and Khosla Ventures, with participation from Bezos Expeditions, Index Ventures, General Catalyst, Lowercarbon Capital, Bain Capital, and others.

Founded by Caltech physicists, Oratomic uses lasers, which act as optical tweezers, to hold individual atoms in place as the basis for its quantum computer.

A new route to electrically controlled helimagnetic structures

Advanced magnetic memory and spintronic devices rely on the ability to control magnetic states using electricity. Today, such technologies work by manipulating relatively simple magnetic structures found in ferromagnets, where all the magnetic moments point the same way. However, researchers are becoming increasingly interested in controlling more complex magnetic systems because these could offer higher information density and improved efficiency.

Helimagnets are a prime example of such systems. In these materials, the magnetic moments form spiral or helical patterns that wind through the material. The direction in which these magnetic patterns propagate plays an important role in determining the material’s electrical and magnetic behavior.

However, researchers had not established a reliable way to reversibly control the orientation of helical magnetic structures using an electric current, and current-driven techniques developed for ferromagnets do not directly carry over to helimagnetic systems.

AI identifies new particle models that may explain neutrinos’ tiny mass

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously design theoretical physics models, a task traditionally carried out by human theorists. The approach allows researchers to explore large, uncharted areas of particle physics theory, helping identify promising new explanations for the behavior of neutrinos.

The system is called Autonomous Model Builder (AMBer), and was developed by a research team led by UC Irvine doctoral candidates Victoria Knapp-Pérez and Jake Rudolph in the Department of Physics and Astronomy. The work is published in Communications Physics.

AMBer uses reinforcement learning, a form of artificial intelligence that learns through trial and error rather than by following predefined instructions. As it explores possible particle physics theories, the system evaluates its own choices and improves over time.

Programmable light simulates quantum matter across 300 processes without bigger circuits

A team of researchers at the University of Ottawa and its Nexus for Quantum Technologies Institute, in collaboration with researchers from Federico II University in Italy, has developed a programmable quantum simulator that shapes a beam of light to replicate how particles move through complex materials, avoiding the need for ever-larger electronic hardware.

Check your ingredients’: A new blueprint for using Fermi’s ‘Golden Rule

Underpinning much of modern technology, from smartphones to scanning tunneling microscopes to particle colliders, is Fermi’s Golden Rule. Named for 20th-century Italian American physicist Enrico Fermi (but actually discovered by British physicist Paul Dirac), the rule is a formula that connects what can be measured in an experiment—such as how fast atoms “jump” between energy states—to the microscopic properties of a quantum mechanical system. The formula is taught in every undergraduate quantum physics class.

Yet scientists sometimes misapply it. They either misjudge the conditions under which the formula works, or they miss the “window” for its use. A “user manual” for Fermi’s Golden Rule would be a boon to researchers, says Yale physicist Nir Navon—and now he and his lab partners have provided one.

“We put one of the most famous formulas in all of quantum mechanics to the test, and found where it works and where it fails, including ways that many physicists weren’t fully aware of,” said Navon, an associate professor of physics in Yale’s Faculty of Arts and Sciences and senior author of a new study published in the journal Nature Physics. “We’re telling everyone who uses it to take a breath first and check their ingredients.”

China Built a Working CPU With Transistors Just 3 Atoms Thick

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