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Category: space – Page 8

First full simulation of 50 qubit universal quantum computer achieved

A research team at the Jülich Supercomputing Center, together with experts from NVIDIA, has set a new record in quantum simulation: for the first time, a universal quantum computer with 50 qubits has been fully simulated—a feat achieved on Europe’s first exascale supercomputer, JUPITER, inaugurated at Forschungszentrum Jülich in September.

The result surpasses the previous world record of 48 qubits, established by Jülich researchers in 2022 on Japan’s K computer. It showcases the immense computational power of JUPITER and opens new horizons for developing and testing quantum algorithms. The research is published on the arXiv preprint server.

Quantum computer simulations are vital for developing future quantum systems. They allow researchers to verify experimental results and test new algorithms long before powerful quantum machines become reality. Among these are the Variational Quantum Eigensolver (VQE), which can model molecules and materials, and the Quantum Approximate Optimization Algorithm (QAOA), used for optimization problems in logistics, finance, and artificial intelligence.

Michael Levin: Unconventional Embodiments: model systems… (ECSU OIST)

Youtube caption.

On 11th of December 2025, Michael Levin gave a talk as part of the ECogS Conference hosted by The Embodied Cognitive Science Unit at OIST.

Title: Unconventional Embodiments: model systems and strategies for addressing mind-blindness.

Abstract: One of the most salient aspects of any agent’s environment is the question of how many, what kind, and what degree of agency exists in it. It is as relevant to biological organisms as to robots in human environments. It is also critical for scientists, philosophers, and engineers, as well as for human societies which will increasingly contain modified, synthetic, and hybrid beings of every possible description. In this talk I will argue that our evolutionary history has left us with significant mind-blindness, which makes it difficult for us to recognize minds of unfamiliar scales, problem spaces, or embodiments. I will describe our lab’s work to develop conceptual tools for recognizing and communicating with diverse intelligences. I will also present recent data from our new synthetic proto-organisms, in which we test those ideas by creating and studying the behavioral properties of beings who have not been specifically selected for them. I will conclude the talk with a speculative idea about the latent space from which novel intrinsic motivations ingress into physical, biological, and computational systems.

AI creates the first 100-billion-star Milky Way simulation

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, removing one of the biggest computational bottlenecks in galactic modeling. The result is a simulation hundreds of times faster than current methods.

Astronomers reveal flat ‘Diamond Ring’ in Cygnus X is a burst bubble remnant

An international team led by researchers from the University of Cologne has solved the mystery of an extraordinary phenomenon known as the “Diamond Ring” in the star-forming region Cygnus X, a huge, ring-shaped structure made of gas and dust that resembles a glowing diamond ring. In similar structures, the formations are not flat but spherical in shape. How this special shape came about was previously unknown.

The results have been published under the title “The Diamond Ring in Cygnus X: an advanced stage of an expanding bubble of ionized carbon” in the journal Astronomy & Astrophysics.

New monitor now operational in the Large Hadron Collider

A novel beam diagnostic instrument developed by researchers in the University of Liverpool’s QUASAR Group has been approved for use in the Large Hadron Collider (LHC), the world’s most powerful particle accelerator.

The new device, known as the Beam Gas Curtain (BGC) monitor, addresses one of the toughest challenges in modern accelerator physics: measuring the properties of very high-energy particle beams without disturbing them.

It has now been cleared for continuous operation (~2,000 hours per year).

Scientists Identify High-Risk Zones On Earth Where Interstellar Objects Could Strike

The study, led by Darryl Seligman of Michigan State University, used simulations to model ISO behaviour and paths. The findings suggest that certain regions are more exposed to potential impacts.

“In this paper we calculate the expected orbital elements, radiants, and velocities of Earth-impacting interstellar objects,” the paper is available online at arxiv.org.

A report by the Universe Today mentioned that the analysis doesn’t calculate the number of ISOs as are no constraints on the number to work with.

Saturn’s icy moon may host a stable ocean fit for life

A new study led by researchers from Oxford University, Southwest Research Institute and the Planetary Science Institute in Tucson, Arizona has provided the first evidence of significant heat flow at Enceladus’s north pole, overturning previous assumptions that heat loss was confined to its active south pole.

This finding confirms that the icy moon is emitting far more heat than would be expected if it were simply a passive body, strengthening the case that it could support life.

The research is published in the journal Science Advances.

The simulated Milky Way: 100 billion stars using 7 million CPU cores

Researchers have successfully performed the world’s first Milky Way simulation that accurately represents more than 100 billion individual stars over the course of 10 thousand years. This feat was accomplished by combining artificial intelligence (AI) with numerical simulations. Not only does the simulation represent 100 times more individual stars than previous state-of-the-art models, but it was produced more than 100 times faster.

Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, the study represents a breakthrough at the intersection of astrophysics, high-performance computing, and AI. Beyond astrophysics, this new methodology can be used to model other phenomena such as and .

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