IBM and researchers from the University of Chicago announced a demonstration in quantum computing that meets the fundamental criteria for “quantum advantage”—the point where quantum computers can be confirmed to have outperformed classical computers on trusted computations.
The collaboration said its system had performed computations beyond the reach of leading classical simulation methods while providing confidence that the computation returned accurate results.
In their new paper, the researchers showed that these two goals could be achieved through a novel construction of encoded quantum circuits—one of the largest demonstrations of logical quantum computing to date. The paper is published on the arXiv preprint server.
Dr. Trevor Martin, Ph.D. — Co-Founder & CEO, Mammoth Biosciences
Most of us think of medicine as something we take every day — a statin, a blood pressure pill, or perhaps a monthly injection. But what if those lifelong treatments eventually become obsolete? What if one carefully targeted gene edit could dramatically reduce your risk of heart disease for decades?
Dr. Trevor Martin, Ph.D. is the Co-Founder and Chief Executive Officer of Mammoth Biosciences (https://mammoth.bio/), a pioneering biotechnology company developing next-generation CRISPR genome editing technologies for potentially curative medicines. He co-founded the company in 2017 alongside Nobel Prize-winning CRISPR pioneer Dr. Jennifer Doudna and an interdisciplinary team of leading scientists with the goal of building more precise, versatile, and clinically practical gene editing systems.
Dr. Martin earned his undergraduate degree in Molecular Biology with honors from Princeton University before completing a Ph.D. in Genetics and Statistics at Stanford University, where his research focused on quantitative genetics, genomics, and computational biology. His scientific background in statistics and genetics has shaped Mammoth’s unique approach to developing smaller CRISPR enzymes capable of reaching tissues and diseases that have been difficult to target with first-generation technologies.
Under Dr. Martin’s leadership, Mammoth has grown into one of the world’s leading CRISPR companies, raising more than $465 million, achieving a valuation exceeding $1 billion, and establishing strategic collaborations with companies including Vertex Pharmaceuticals, Bayer, and Regeneron Pharmaceuticals.
Over the past century, advances in neuroimaging and cognitive neuroscience reshaped how we understand psychiatric disorders, expanding the portfolio of evidence-based treatments while routine clinical practice has mostly relied on trial and error. Precision medicine has steadily extended to psychiatry, and today we can target specific cortical or subcortical brain regions within defined pathological circuits to individualize treatments to particular symptoms. Neuromodulation sits at the frontier of this shift in psychiatry, with extensive ongoing research to identify optimal treatment targets and protocols personalized to individuals’ neural circuitry.
Neuromodulation using neuronavigation achieves precise clinical target identification through computer-assisted integration of multimodal brain imaging. Neuron avigated approaches have been central to deep brain stimulation (DBS) for decades. More recent advances in functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) extended this framework from isolated gray matter nuclei toward pathological neural circuits through resting-state functional connectivity analysis and tractography, which enabled the identification of connectomic fingerprints associated with specific symptom clusters, or circuitopathies, a concept particularly relevant to psychiatric disorders, such as obsessive-compulsive disorder and depression.
The discovery could advance integrated photonics, on-chip optical signal transmission, and future quantum technologies.
A nanoscale gold antenna placed on a crystal can send infrared light along one narrow route, even though no physical waveguide has been carved into the material.
Researchers at the 4th Physics Institute of the University of Stuttgart and the Istituto Italiano di Tecnologia (IIT) in Milan demonstrated this mechanism in a naturally hyperbolic van der Waals material. The result could support integrated photonics, optical communication on chips, and future quantum technologies.
A computer that runs on living human neurons is currently playing Doom. It’s called CL1, built by Cortical Labs from brain cells grown in a lab. There’s no one at the controls, and yet something is clearly learning. What’s actually running this thing is the strange part, and it’s the reason I had to make this video.
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Altermagnetism is a new, third type of magnetism of great interest for spin-transport applications like computer memory. If properly harnessed, it could combine the benefits of the two existing types of magnetism, ferromagnetism and antiferromagnetism, ultimately reducing or eliminating heat during information transfer and increasing the ability to miniaturize next-generation technologies. Rice University’s Pengcheng Dai recently published a paper in Physical Review X describing the first successful efforts to put a proposed altermagnetic material into a single magnetic-domain state, allowing the research team to characterize the material’s intrinsic magnetic structure.
“Altermagnets like hexagonal manganese telluride typically form multidomain structures where the magnetic forces divide into separate equivalent domains that spin in different directions to satisfy the underlying threefold rotational symmetry of the hexagonal lattice,” said Dai, the Sam and Helen Worden Professor of Physics and Astronomy.
“The signals from these coexisting domains could overlap, making it hard to know what the underlying magnetic structure actually is. Here, we were able to apply a uniaxial strain, which resulted in a single magnetic domain we could clearly resolve into the underlying magnetic structure.”
Superconductors are materials that conduct electricity with zero electrical resistance below specific temperatures. Most of these materials become superconducting at very low temperatures, but some also exhibit superconductivity at higher temperatures.
Superconductors have proved advantageous for the development of numerous technologies, ranging from medical imaging instruments to particle accelerators, nuclear reactors, power transmission lines and quantum computers. While past studies have shed light on the physical underpinnings of conventional, low-temperature superconductivity, the processes contributing to high-temperature superconductivity remain poorly understood.
Researchers at Tsinghua University and the Chinese Academy of Sciences recently carried out a study aimed at better understanding the physical processes that give rise to superconductivity in hole-doped Ca₂CuO₂Cl₂ (CCOC), an unconventional cuprate superconductor.
Quantum advantage refers to the point at which a quantum computer solves a clearly defined task faster or more efficiently than any classical computer—or makes it solvable in the first place. For many practical applications, this has not yet been demonstrated. Research therefore relies heavily on theoretical models and simulations to explore where and under what conditions such an advantage may realistically be achieved in the future.
Quantum simulation is considered a promising path toward genuine quantum advantage.
However, many existing approaches in quantum chemistry rely on simplifying assumptions: They describe molecules as closed systems perfectly isolated from their environment, model only unitary dynamics and focus on calculating ground states within the Born-Oppenheimer approximation. In nature, none of these assumptions fully hold.
Alternatively, when circularly polarized OAM states carry different topological charges, the resulting hybrid-order Poincaré sphere can describe full Poincaré beams or C-point singularities. The system’s ability to generate arbitrary structured light fields on diverse Poincaré spheres is crucial for unlocking their full potential in various applications, a need previously unmet by existing free-space optical setups or limited metasurface – and fiber-based schemes.
A new silicon photonic integrated circuit dynamically controls light’s properties across multiple dimensions, offering an advance for applications requiring precise beam manipulation. The device, fabricated with a space-multiplexed silicon photonic integrated circuit, overcomes limitations of traditional free-space optics by integrating key components onto a single chip. The researchers highlight the potential for mapping the angular momentum of light onto these high-order spheres, providing a powerful framework for describing structured light beams.
