Diamonds have long been coveted for their beauty. Their dazzling color and clarity make them perfect candidates for luxury jewelry. However, it’s their other unique characteristics, including their hardness, thermal conductivity and chemical resistance, that make diamonds suitable for various applications in industry and advanced technologies.
At the quantum scale, carefully engineered diamonds can behave like tiny sensors—able to ‘feel’ magnetic signals from nearby molecules. In simple terms, they can pick up incredibly faint signals that would otherwise be invisible to conventional instruments. This capability could help us detect contaminants in water, identify disease biomarkers and monitor chemical processes in real time.
The project strengthens one of Australia’s most important international science partnerships, bringing together complementary expertise in quantum materials, advanced manufacturing and characterization to accelerate the development of next-generation sensing technologies.
Magnetic fields are generally known to destroy superconductivity in a material. However, in exceptional cases, they can lead to what is known as “re-entrant superconductivity”—where superconductivity disappears as expected, but then unexpectedly returns when the magnetic field is increased further.
This behavior is sometimes seen in bulk, three-dimensional materials, but now, in a study published in Science Advances, a team led by the RIKEN Center for Emergent Matter Science (CEMS) in Japan has seen the phenomenon in a very thin conducting layer at the boundary between two insulating oxide materials. Because oxide interfaces can be precisely engineered and controlled, the discovery provides a new platform for investigating unconventional forms of superconductivity and the quantum mechanisms that allow it to survive under unusual conditions.
From detecting the ripples of colliding black holes to imaging individual chemical bonds, mechanical transducers have repeatedly transformed our understanding of the universe. So far, however, the sensitivity of these devices has been intrinsically limited by the laws of quantum mechanics itself.
Through new research published in Physical Review Letters, researchers led by Lukas Novotny at ETH Zurich have found a way to push past that ceiling using a quantum trick called squeezing, opening a new chapter in precision measurement.
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.
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.
Scientists used swirling water waves to simulate a quantum effect, uncovering rotating nodal patterns that could deepen understanding of hidden quantum phenomena.
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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Computing ecosystems are changing dramatically. AI, quantum computing, exascale supercomputers, biological DNA, chemical and neuromorphic technologies will change the 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 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.
