For nearly a century, there were two known kinds of magnets. Ferromagnets are the classic magnets that attract metal and keep pictures stuck to the refrigerator. Antiferromagnets hide their magnetism at the atomic scale but are increasingly prized for their technological potential. A third category discovered within the last decade may combine the best qualities of both. Dubbed altermagnets, they could someday help create faster, more energy-efficient electronics.
Now, University at Buffalo physicists are proposing a quantum sensing system to make identifying altermagnets much simpler. Described in a study published in Physical Review Letters, the theoretical technique would measure how a suspected altermagnet disturbs a tiny magnetic defect in a nearby diamond. The way the defect’s magnetic signal relaxes could provide evidence of altermagnetism.
“This could be the first building block of a new generation of experiments that determine whether a material is an altermagnet,” says corresponding author Jamir Marino, Ph.D., assistant professor in the UB Department of Physics, College of Arts and Sciences. “Altermagnets could completely revolutionize the way we transport information, but to confirm if this elegant theory is true, we need experiments that identify altermagnets and confirm they behave the way scientists predict.”
Topological phases are unusual states of matter that give rise to properties protected by a material’s overall structure (i.e., “topology”), as opposed to microscopic details. These phases are of great interest for the development of quantum technologies, as they can yield desirable electronic properties that are robust against defects and disturbances.
Researchers at Autonomous University of Madrid investigated the topological phases that emerge in hybrid devices that combine the quantum Hall effect and superconductivity.
The quantum Hall effect is an effect that emerges when the electrical resistance of a two-dimensional (2D) material placed under a strong magnetic field and cooled to temperatures close to absolute zero changes in precise, rigid “steps” rather than continuously. Superconductivity, on the other hand, is a state exhibited by some materials that entails an electrical resistance of zero, typically below a specific critical temperature and magnetic field.
Modern power systems are rapidly evolving into highly digitized smart grids, increasing their complexity at an unprecedented pace. Renewables, batteries, electric vehicles, power electronics, sensors and real-time control systems are all expanding rapidly, and this is making electricity grids significantly harder to simulate, optimize, secure and operate.
This is driven by the increasing energy demands of a tech-driven modern world. Think of a suburban street in 2005—every house pulled electricity from the grid, and power flowed in one direction from big power stations.
This same street in 2026 might have houses with rooftop solar exporting power back into the grid; electric vehicles (EVs) that need to charge overnight; home batteries storing solar energy and feeding it back into the grid when prices spike; electric busses, electric irrigation pumps, automated machinery and smart appliances that turn on and off based on grid signals.
Roger Penrose and Brian Cox discuss how Roger got interested in physics, the Big Bang, and the role of beauty in mathematics.
Do you agree with Roger’s thoughts on string theory?
With a free trial, you can watch the full conversation NOW at https://iai.tv/video/our-future-theor… the Big Bang to the fabric of spacetime and the nature of consciousness, our core scientific assumptions frame how we understand and perceive reality. But there are many challenges to our current understanding. What if the very foundations of our theories are flawed? Should we reconsider our understanding? And how radically might our view of the universe have to change? Join Roger Penrose, Nobel Prize Laureate and winner of the Wolf prize, in collaboration with Stephen Hawking, with legendary physicist and science communicator, Brian Cox, to explore whether the flaws in our current theories are at some fundamental level insurmountable, or whether they can be extended or changed to overcome these challenges. #physics #cosmology #bigbang Awarded the 2020 Nobel Prize in Physics for his work on black holes, Roger Penrose is a world-renowned mathematician and physicist. In recent years, he has investigated the relationship between physics and the mind, famously arguing that quantum mechanics plays an essential role in solving the mysteries of human consciousness. Penrose has made numerous appearances on media such as BBC, Closer to Truth, and The Joe Rogan Experience. In 1994, he was knighted for his services to science. Famed for his poetic take on the cosmos, physicist and broadcaster Brian Cox has become one of the world’s most recognizable voices in science communication. A former musician turned particle physicist, Cox has played a key role in major experiments at CERN and the Large Hadron Collider, while also captivating millions through BBC series such as Wonders of the Universe, The Planets, and Forces of Nature. Cox has been showered with praise for his contributions, appointed Commander of the Order of the British Empire (CBE), and is the recipient of the Institute of Physics Kelvin Medal and the Michael Faraday Prize. Beyond his work as a Royal Society professor of physics at the University of Manchester, Cox advocates for public scientific literacy and political responsibility in science funding. His style blends rigorous physics with a deep sense of awe — bringing relativity, entropy, and quantum theory into living rooms around the globe. His rare ability to fuse clarity with wonder has earned global acclaim. The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=Y… 0:00 Intro 0:44 Brian Cox on how Roger Penrose inspired him 1:39 — Beauty in mathematics 3:00 — How Roger struggled with maths at school 6:51 — How Roger got interested in physics 9:27 — What theory is best for explaining the beginning of the universe? 12:12 — A key new discovery in cosmology 18:44 — The big bang is not quantum mechanical For debates and talks: https://iai.tv For articles: https://iai.tv/articles For courses: https://iai.tv/iai-academy/courses.
From the Big Bang to the fabric of spacetime and the nature of consciousness, our core scientific assumptions frame how we understand and perceive reality. But there are many challenges to our current understanding. What if the very foundations of our theories are flawed? Should we reconsider our understanding? And how radically might our view of the universe have to change? Join Roger Penrose, Nobel Prize Laureate and winner of the Wolf prize, in collaboration with Stephen Hawking, with legendary physicist and science communicator, Brian Cox, to explore whether the flaws in our current theories are at some fundamental level insurmountable, or whether they can be extended or changed to overcome these challenges.
#physics #cosmology #bigbang.
Awarded the 2020 Nobel Prize in Physics for his work on black holes, Roger Penrose is a world-renowned mathematician and physicist. In recent years, he has investigated the relationship between physics and the mind, famously arguing that quantum mechanics plays an essential role in solving the mysteries of human consciousness.
A chilling wave of online theories erupted after viral posts claimed Google’s experimental Willow quantum chip may have detected “something watching us.” The internet quickly exploded with speculation involving parallel universes, hidden dimensions, cosmic observers, simulation theory, and artificial intelligence uncovering realities beyond human understanding. But what’s actually true behind the headlines?
Google’s quantum computing research focuses on developing advanced processors capable of solving highly specialized problems using qubits, superposition, and quantum entanglement. These systems operate according to the strange laws of quantum mechanics, where particles can behave in ways that often sound almost impossible from a normal human perspective.
The viral controversy appears to have grown from misunderstandings surrounding discussions of quantum interference, error correction behavior, and theoretical interpretations of quantum physics such as the “many-worlds interpretation.” Some internet users exaggerated these highly technical concepts into claims that quantum computers were interacting with external intelligences or hidden observers.
In reality, there is currently no scientific evidence that Google’s Willow chip discovered conscious entities, surveillance from another dimension, or anything literally “watching humanity.” Physicists say many sensational headlines confuse legitimate quantum phenomena with speculative science fiction ideas that become distorted across social media.
However, the science itself is still fascinating. Quantum experiments often reveal behaviors that challenge ordinary intuition, including entanglement, probabilistic outcomes, observer effects, and interference patterns that remain deeply debated even among physicists. Some interpretations of quantum mechanics suggest reality may operate in ways far stranger than classical physics once imagined — though none prove supernatural observation or cosmic consciousness.
In this video, we break down what the Willow quantum chip is actually designed to do, how quantum computers really work, and why modern quantum physics often gets misrepresented online. We’ll also explore qubits, superposition, observer effects, many-worlds theory, simulation hypotheses, AI-assisted physics research, and the growing race to build next-generation quantum systems.
Using finely tuned nanoscale building blocks, researchers from Brown University and the University of Michigan College of Engineering have stabilized a fleeting structural phase of matter that had been predicted theoretically but never before stabilized in a physical material.
The new nanoparticle superlattice, described in the journal Science, freezes an elusive intermediate state between two of nature’s most common crystal metallic arrangements. Beyond describing new details about how this transition works, the new structure exhibits extraordinary optical properties that could be useful in quantum computing or other quantum information systems.
More broadly, the work provides a new recipe for using custom-shaped nanoparticles to engineer entirely new classes of materials with tailored properties.
From that insight, Dirac built an entirely new formulation of the theory using what he called “q-numbers” (quantum numbers)—abstract quantities that don’t commute. He independently rediscovered aspects of Hilbert’s operator theory, though he preferred his own algebraic route because he found mathematicians’ obsession with convergence and existence theorems unappealing.
We study the scaling of QAOA TTS with the problem size on the low autocorrelation binary sequences (LABS) problem (15, 16), also known as the Bernasconi model in statistical physics (17, 18). The LABS problem has applications in communications engineering, where the low autocorrelation sequences are used for designing radar pulses (15, 19). To solve LABS, one has to produce a sequence of N bits that minimizes a specific quartic objective.
We choose LABS to study the scaling of QAOA TTS for the following three reasons. First, the complexity of LABS grows rapidly, with optimal solutions known only for N ≤ 66 and the best heuristics producing approximate solutions of quality decaying with N for N 200 (20, 21). This makes it a promising candidate problem, since only a few hundred qubits are required to tackle classically intractable instances. Second, the performance of classical solvers for LABS has been benchmarked (20, 21) in terms of the scaling of their TTS with problem size. Since optimal solutions are only known for N ≤ 66, the scaling of TTS for all classical solvers is obtained by fitting results for N ≤ 66. We reproduce these results and observe that that the scaling of classical solvers at N ≤ 40 matches the behavior for N up to 66 reported in the literature. This provides evidence that the scaling we observe for QAOA at N ≤ 40 will similarly extrapolate to larger N. Third, LABS has only one instance per problem size N. Combined with the hardness of LABS, this makes it possible to reliably study the scaling of QAOA at large problem sizes, where simulating tens or hundreds of random instances would be computationally infeasible.
We obtain the scaling by performing noiseless exact simulation of QAOA with fixed schedules. Our results are enabled by a custom algorithm-specific graphics processing unit (GPU) simulator (22), which we execute using up to 1,024 GPUs per simulation on the Polaris supercomputer accessed through the Argonne Leadership Computing Facility. We find that the TTS of QAOA with number of layers p = 12 grows as 1.46N, which is improved to 1.21N if combined with quantum minimum finding. This scaling is better than that of the best classical heuristic, which has a TTS that grows as 1.34N. We note that we do not propose any new quantum algorithms in this work. Instead, we study a general quantum optimization heuristic with broad applicability (namely, QAOA) and make no specific modifications to adapt it to the LABS problem.
