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Laser-cooled atomic gases, gases of atoms chilled to temperatures around absolute zero using laser technologies, have proved to be versatile physical platforms to study and control quantum phenomena. When these atomic gases interact with light inside an optical cavity (i.e., a structure designed to trap and enhance light), they can give rise to effects that can be leveraged to realize quantum sensing or simulate complex quantum systems.

Using loaded in optical cavities, physicists have observed various intriguing effects, including self-organization phase transitions, characterized by the spontaneous arrangement of the gas atoms into ordered patterns, lasing and the preservation of quantum coherence. Generally, however, these effects are only observed for short times, as new atoms need to be reloaded in the cavity for them to be produced again.

Researchers at JILA, a joint research institute of the University of Colorado-Boulder and the National Institute of Standards and Technology, recently demonstrated continuous lasing that lasted hours using laser-cooled strontium-88 (88 Sr) atoms loaded into a ring (i.e., circular) . Their paper, published in Nature Physics, could open new possibilities for the development of ultra-quiet lasers, as well as quantum computers and sensing technologies.

But one key challenge stands in the way: speed.

To be reliable, quantum computers must perform calculations and error corrections before their fragile quantum bits, or qubits, lose coherence.

Now, MIT researchers have built a new superconducting circuit that could dramatically speed up this process.

What if gravity isn’t a force, but a computation? In this episode, we explore Dr. Melvin Vopson’s groundbreaking theory that gravity emerges from the universe’s effort to compress and optimize information. Discover how this idea connects with simulation theory, quantum physics, and the future of reality.

Paper link: https://pubs.aip.org/aip/adv/article/.… 00:00 Introduction 00:54 The Universe as a Computational System 02:18 Gravity as an Optimization Process 03:48 Implications and Similar Theories 07:20 Outro 07:39 Enjoy MUSIC TITLE : Starlight Harmonies MUSIC LINK : https://pixabay.com/music/pulses-star… Visit our website for up-to-the-minute updates: www.nasaspacenews.com Follow us Facebook: / nasaspacenews Twitter: / spacenewsnasa Join this channel to get access to these perks: / @nasaspacenewsagency #NSN #NASA #Astronomy#GravityTheory #InformationPhysics #MelvinVopson #SimulationHypothesis #DigitalUniverse #HolographicPrinciple #EntropicGravity #PhysicsExplained #ScienceNews #QuantumGravity #NewPhysics #ComputationalUniverse #BinaryReality #SpaceTime #QuantumMechanics #BlackHoleTheory #QuantumInformation #QuantumComputing #TheoreticalPhysics #ScienceBreakthrough #QuantumWorld #UnifiedTheory #SpaceExploration #Astrophysics #PhysicsToday #CosmosDecoded #EmergentGravity #ScienceFacts #GravityExplained #DigitalPhysics.

Chapters:
00:00 Introduction.
00:54 The Universe as a Computational System.
02:18 Gravity as an Optimization Process.
03:48 Implications and Similar Theories.
07:20 Outro.
07:39 Enjoy.

MUSIC TITLE : Starlight Harmonies.
MUSIC LINK : https://pixabay.com/music/pulses-star

Visit our website for up-to-the-minute updates:
www.nasaspacenews.com.

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Four physicists at the Hebrew University of Jerusalem, in Israel, have unraveled the mechanical process behind the growth of roses as they blossom into their unique shape. In their study published in the journal Science, Yafei Zhang, Omri Cohen, Michael Moshe and Eran Sharon adopted a multipronged approach to learn the secrets behind rose blossom growth. Qinghao Cui and Lishuai Jin, with the University of Hong Kong have published a Perspective piece in the same journal issue outlining the work.

Roses have been prized for their beauty and sweet aromas for thousands of years, but until now, the mechanics behind growth have not been explored. To gain a better understanding of the process, the research team undertook a three-pronged approach. First, they conducted a theoretical analysis of the process. Then they created computer models to simulate the ways the flowers might grow and ; finally, they created real-world bendable plastic disks to simulate and the possible ways they could grow given the constraints of real roses.

They found that the shape of the petals is strongly influenced by the frustration known as the Mainardi-Codazzi-Peterson incompatibility, in which geometric compatibility conditions inherent on a surface made of a particular material are violated, leading to forces that generate rolling and sharp edges.

Photographer Stephen Voss has been working on a project about data centers and recently travelled to Abilene, Texas to document the first data center built as part of the Stargate Project. When completed, it will be the largest data center in the world. Here’s a short drone video he took of the project:

“The place was mesmerizing and deeply unsettling,” Voss told me over email. “When finished, it’ll have the power demands of a mid-sized city and is on a piece of land that’s the size of Central Park.”

A new MIT-designed circuit achieves record-setting nonlinear coupling, allowing quantum operations to occur dramatically faster.

The heart of this advance is the “quarton coupler,” which boosts both light-matter and matter-matter interactions. This progress could lead to quicker quantum readouts, crucial for error correction and computation fidelity.

Unlocking Quantum Computing’s Speed Potential.

Most people’s experiences with polynomial equations don’t extend much further than high school algebra and the quadratic formula. Still, these numeric puzzles remain a foundational component of everything from calculating planetary orbits to computer programming. Although solving lower order polynomials—where the x in an equation is raised up to the fourth power—is often a simple task, things get complicated once you start seeing powers of five or greater. For centuries, mathematicians accepted this as simply an inherent challenge to their work, but not Norman Wildberger. According to his new approach detailed in The American Mathematical Monthly, there’s a much more elegant approach to high order polynomials—all you need to do is get rid of pesky notions like irrational numbers.

Babylonians first conceived of two-degree polynomials around 1800 BCE, but it took until the 16th century for mathematicians to evolve the concept to incorporate three-and four-degree variables using root numbers, also known as radicals. Polynomials remained there for another two centuries, with larger examples stumping experts until in 1832. That year, French mathematician Évariste Galois finally illustrated why this was such a problem—the underlying mathematical symmetry in the established methods for lower-order polynomials simply became too complicated for degree five or higher. For Galois, this meant there just wasn’t a general formula available for them.

Mathematicians have since developed approximate solutions, but they require integrating concepts like irrational numbers into the classical formula.