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Scientists catch classical space-time crystals moving like Majorana quasiparticles

A research team from Hiroshima University, the University of Colorado, and other collaborators have demonstrated that space-time crystals—exotic structures that, under external drive, loop endlessly through both space and time—can be created using everyday liquid-crystal materials.

For the past decade, physicists have been fascinated by time crystals. Unlike normal crystals (such as salt or diamonds), which have repeating molecular patterns in space, time crystals have patterns that repeat at regular intervals in time. Previously, scientists believed these bizarre structures could exist only in highly complex, fragile quantum systems at near-absolute-zero temperatures, such as trapped ions or quantum simulators. However, in a collaborative study published in Nature Communications, researchers successfully created them in a classical, room-temperature liquid-crystal system.

To achieve this, the team took a liquid-crystal material—similar to the fluid used in smartphones and television screens—and doped it with ionic substances. They then applied a rhythmic, repeating electrical signal to the fluid. Using advanced computer models and optical microscopes, the researchers observed a surprising phenomenon known as period-doubling. Even though the electrical drive pumped energy into the fluid at a set internal rhythm, the liquid crystals spontaneously locked into a pattern that repeated only every two cycles of the electricity.

A new quantum computer sets a high watermark for accuracy. Are we on the verge of a big breakthrough?

In a laboratory in Broomfield, Colorado, 98 atoms are suspended in midair, held in place by electric fields and cooled to temperatures close to absolute zero.

Each atom is far smaller than anything the naked eye could ever see, yet each carries information in a form that has no counterpart in classical physics.

Together, they form Helios, a new quantum computer built by the British-American company Quantinuum. Quantum computers use the power of quantum mechanics, the rules that govern how physics operates at atomic and subatomic scales. Those that use Helios’ model of suspended atoms are known as trapped-ion.

Quantum Computers Just Solved What AI Couldn’t — Here’s Proof

Artificial intelligence has achieved remarkable breakthroughs in recent years, from generating human-like text and images to solving complex scientific and engineering problems. Yet some challenges remain extraordinarily difficult even for the most advanced AI systems. This has fueled growing interest in quantum computing, a technology that processes information in fundamentally different ways from classical computers. Researchers are now exploring whether quantum algorithms can tackle certain optimization, simulation, and computational problems that push conventional AI systems to their limits. Recent experiments and research papers have generated excitement by demonstrating situations where quantum approaches may offer unique advantages, reigniting debate about how these two revolutionary technologies could work together in the future.

Rather than viewing quantum computing and AI as competitors, many experts believe they could become powerful partners. Quantum processors may eventually help accelerate specific machine learning tasks, improve complex simulations, and solve optimization problems that are critical to industries such as logistics, finance, materials science, and drug discovery. At the same time, scientists caution that practical large-scale quantum computing remains an active area of research, and many headline-grabbing claims require careful scrutiny and independent verification. Even so, the rapid progress in both fields suggests that the future of computing may be shaped not by AI alone, but by a combination of artificial intelligence and quantum technologies working together to tackle problems once thought impossible.

Disclaimer.

This video is intended for educational and informational purposes only. Quantum computing and artificial intelligence are rapidly evolving fields, and interpretations of research findings may change as new evidence becomes available. The content presented is based on publicly available studies, expert analysis, and current technological developments.

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We May Never Understand Reality

What really happens in the quantum world?

In this conversation, physicist Sean Carroll explores some of the deepest mysteries in quantum mechanics: the famous double-slit experiment, wave function collapse, the Many Worlds interpretation, entropy and the arrow of time.

Speaking to New Scientist reporter Jacklin Kwan, Carroll discusses why electrons appear to behave like waves, how observation seems to affect reality and whether the universe constantly branches into countless parallel worlds. Carroll also explains the measurement problem, the challenges of interpreting quantum theory and why physicists still debate what quantum mechanics is actually telling us about the nature of reality.

Carroll is a theoretical physicist, cosmologist and author whose work focuses on the foundations of physics, quantum mechanics, cosmology and the nature of time.

Chapters.
0:00 Introduction.
0:39 The double slit experiment.
5:20 The Cophenhagen interpretation.
9:05 Is there a \.

NASA’s Cold Atom Lab is creating one of the weirdest forms of matter in space

NASA’s upgraded Cold Atom Lab is turning the International Space Station into a frontier for quantum research, creating ultra-cold matter that behaves in astonishing ways. The experiments could unlock new discoveries about the universe while paving the way for powerful future technologies in space and on Earth.

Horizon edge states gain finite description in string theory calculation

Modern physics theories highlight the key role of horizons—boundaries beyond which information cannot reach an observer—in a variety of cosmological and gravitational phenomena. Two renowned examples of these boundaries are event horizons in black holes and the cosmological horizon of the de Sitter spacetime, a model of an expanding universe with a positive vacuum energy.

Many quantum theories predict the existence of quantum states or excitations in the proximity of horizons, which are known as edge modes. Edge modes are additional degrees of freedom that can emerge when space is divided into two distinct regions. Rather than being distributed throughout space, they are typically localized near or on the boundary that divides the two regions.

Researchers at the Abdus Salam International Center for Theoretical Physics and the University of Amsterdam recently set out to calculate the contribution of edge modes to the Euclidean partition function, a quantity that encodes information about all possible quantum states of a system and their statistical properties.

Wave-packet interferometry captures elusive dark excitons in organic superconductor

In a recent study, Manish Garg, independent group leader at Max Planck Institute for Solid State Research (MPI FKF), succeeded in probing the local properties of bright and dark excitons in the organic superconductor copper naphthalocyanine (CuNc). The findings are published in the journal Nature Communications.

This study was the result of the efforts of an international collaboration that brought together the MPI for Solid State Research in Stuttgart, the Università della Calabria and the Universidad Autónoma de Madrid.

By combining scanning tunneling microscopy with wave-packet interferometry, the authors gained remarkable—and previously inaccessible—insights into exciton dynamics. The insights gained with this technique can be of paramount importance both in the field of energy materials—where excitons play a central role in light-harvesting technologies such as solar cells—and in quantum technologies, as excitons are considered a promising platform for quantum computing.

Pathway to high-fidelity quantum computing identified

Researchers from the University of Sydney, working with IBM, have identified and quantified important factors limiting the performance of quantum computers and demonstrated ways to overcome their impact.

The findings, which improve understanding of how errors emerge during quantum computations, could significantly advance the reliability of quantum technology.

The paper has been published in Nature Communications.

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