High-resolution spectroscopy of CaKFe₄As₄ reveals that spin fluctuations, not phonons, drive its superconductivity, a result that lays a path for unifying theories of iron-based superconductors.

Nonlinear optical measurements reveal drastic modification of excitonic interactions in semiconductor moiré materials. In stark contrast to monolayers, the interaction between excitons dressed by moiré localized electrons is suppressed.

Specially structured quantum states enable direct quantum communication through highly lossy channels, overcoming conventional limits. This approach could enhance quantum networks and transduction efficiency.

A method to fine-tune electron-nuclear spin interactions in quantum dots enables dynamic control of quantum information exchange, advancing spin-based quantum memories, computing, and secure communication.

The emergence of superconductivity in the Ruddlesden-Popper phase nickelate La${}_4$Ni${}_3$O${}_{10}$ around 25 K under high pressure opens new search avenues for unconventional superconductivity in bulk materials.

Wet adhesion in soft materials follows a two-phase process: a fluid-trapped sticking phase and a sudden snapping phase. This behavior has implications for biology, adhesives, and soft robotics.

Confinement of active flows influences chemical signal transport, changing speed by up to a factor of 8, offering insights on biochemical signaling in processes like embryogenesis.

The discovery of bulk superconductivity in pressurized single crystals of Pr₄Ni₃O₁₀ establishes trilayer nickelates as genuine bulk high-temperature superconductors.

A new control scheme simplifies quantum harmonic oscillator manipulation, linking control parameters to quantum behavior. It enables spin-like behavior for novel quantum information processing.

Stripe order of spins and charges in cuprates is linked to the pseudogap, as both phenomena are confined below the same critical electronic density. This raises new questions about the strange metal phase found above this critical density.

Improved methods for using electron spins to sense and control nuclear spins could benefit many quantum technologies.

AI-driven design of gravitational wave detectors uncovers approaches that surpass current plans, potentially boosting sensitivity more than tenfold.

A powerful framework allows scientists to understand and classify joint quantum measurements—procedures essential for many quantum technologies.

For neutron stars, a combination of nuclear experiments, astrophysical data, and gravitational waves narrows the uncertainty of radii measurements to 0.5 km and predicts a maximum mass of about 2.3 solar masses.

A new method for obtaining high-resolution images of cells from low-resolution ultrasound data enables longer, noninvasive monitoring of organisms.

A new class of dynamical topological phases emerges in quantum systems where measurements and feedback control shape evolution. This discovery enables noiseresistant quantum control and advances the study of topology in open quantum systems.

Quantum simulators can efficiently solve dissipative many-body problems that are intractable for classical computers, even with noise, thus establishing a robust quantum advantage for studying open quantum systems.

The discovery of nematic superconductivity in a lanthanum aluminate/potassium tantalate heterostructure suggests a deep connection between electronic nematicity and unconventional superconductivity.

High-field superconductivity in UTe${}_2$ is linked to a continuous quantum critical line rather than a single quantum critical point. The findings suggest that metamagnetic fluctuations play a key role in the observed high-field superconductivity.

Complex quantum phase transitions can emerge from just a few measurement histories, an insight that could simplify exploration and control of monitored quantum systems.

The discovery of a nodal-line spin-liquid phase in a frustrated magnet shows how fluctuations in such materials can act counterintuitively to protect an ordered magnetic moment.

Symmetry-constrained random quantum circuits generate randomness more slowly than unconstrained ones, following a diffusive process. This finding reveals how conservation laws can impact quantum simulation and computation.

A demonstration of Bell-operator correlations in a 73-qubit quantum processor provides a benchmark for studying quantum nonlocality in complex systems that goes beyond standard measurements of entanglement.

Capillary thinning of polymeric fluids depends on polymer concentration and molecular weight distribution. High molecular weight polymers dominate at high concentrations, while low molecular weight polymers dominate at low concentrations.

Even when graphene is electrically insulating in the quantum Hall localized state, heat travels efficiently, revealing a novel thermal transport mechanism with potential applications in nanoscale heat management.

In a cavity, quantum vacuum fluctuations interact with the fractional quantum Hall effect, leading to new features in the topological state and forming new light-matter graviton-polariton quasiparticles.

Insights from heavy-fermion physics help explain electronic behavior in magic angle twisted bilayer graphene.

Ultralow-temperature thermal conductivity measurements reveal a point node superconducting gap structure in UTe${}_2$. The findings confirm robust spin-triplet superconductivity and advance the search for topological superconductors.

A new framework reveals how lattice vibrations contribute to resonant inelastic x-ray scattering experiments, offering clearer insight into quantum materials.

A quantum sensing technique to scan for axion dark matter using superconducting qubits boosts search speed 20-fold by circumventing quantum noise limits. This scalable approach enables dark matter experiments with unprecedented sensitivity.

Precision control of magnetic fields facilitates the creation of skyrmion track arrays in Fe${}_3$GaTe${}_2$, paving the way for scalable, ordered skyrmion structures for energy-efficient computing and next-generation data storage.

Magnetic octupolar correlations in Ce${}_2$Zr${}_2$O${}_7$ are less apparent in neutron diffraction signals than previously thought, a key insight for understanding a new family of quantum spin-ice candidate materials.

Machine learning automates the control of a large and highly connected array of semiconductor quantum dots.

Dense ensembles of nitrogen-vacancy centers in diamond with strong dipolar interactions and controlled dimensionality offer a new platform for advancing quantum sensing and simulation.

Engineered boundary conditions in chiral nematic liquid crystals enable the first experimental realization of non-Abelian line defects and their networks, revealing complex, ordered interactions and rich topological behavior.

Researchers have shown that they can distribute quantum keys under realistic conditions using commercial lasers.

A machine-learning algorithm rapidly generates designs that can be simpler than those developed by humans.

A new theory linking light-induced atomic vibrations to ultrafast changes in electronic behavior offers a path to engineer the properties of semimetals using light.

Strong light-matter coupling can reshape chemical dynamics by altering molecular bonding pathways, as shown in a quantum model where polariton formation suppresses excimer bonding beyond a critical interaction threshold.

A low-symmetry system—realized in an iron layer on a tantalum substrate—shows unique topological magnetic domain walls. Nontrivial structures in these walls respond asymmetrically to magnetic fields, enabling the creation of skyrmion chains.

Polarization switching in ultrathin hafnia films requires very high electric fields, limiting its use in next-generation nanoelectronics. A new type of domain-wall-driven switching in thicker films lowers those switching fields.

Symmetry governs the sensitivity of optical phonons in graphene to the local environment, with implications for van der Waals engineering and quantum sensing.

A new theoretical framework reveals universal principles governing network flows, predicting a threshold where flow becomes unsustainable and uncovering how dissipation can enhance performance in certain systems.

A new methodology to identify point defects in materials combines isotope substitution, polytype control, and first-principles calculations. Applied to hexagonal boron nitride, it identifies a UV color center as a carbon dimer.

Ultrafast light excitation in BiFeO${}_3$ triggers ferroelectric recovery within 0.5 ps, driven by polaron formation—not free electron relaxation. This reveals a new design principle for fast, light-responsive materials.

A general framework models and counters the complex, time- and space-correlated noise that disrupts quantum computing performance. This relies on tensor networks to boost accuracy and efficiency of estimation.

Undoped NdNiO${}_2$ exhibits superconductivity up to 11 K, challenging the assumption that doping is essential in layered nickelate superconductors.

High-resolution resonant inelastic x-ray scattering reveals yet-unobserved magnetic excitations in doped cuprate ladders, indicating strong hole pairing beyond Hubbard model predictions.

A new theory links microscopic energy use to large-scale behavior in active matter, revealing how dissipation links to pattern formation and offering tools to infer energy flow in synthetic and living systems.

A solvable model for reinforcement learning, the RL perceptron, provides a mathematical framework to analyze learning dynamics, revealing key efficiency factors and a speed-accuracy trade-off that can guide better RL training strategies.

A 56-qubit trapped-ion quantum computer achieves high fidelity in random circuit sampling, outperforming classical supercomputers and making important progress toward practical quantum computational advantage.

Tuning a laser’s frequency flips the phase of coherent phonons in a topological semimetal, enabling precise control of vibrations and offering a new way to manipulate material properties.

Kagome metals show promise for thermoelectrics, thanks to an interplay between flat and dispersive bands that boosts their thermoelectric response.

Ultralight dark matter particles may leave traces in the light emitted by laser-excited thorium nuclei.

Flat bands in twisted bilayer graphene at the first magic angle remain robust under disorder owing to a hidden symmetry, offering topological protection not found at higher angles.

A new framework shows how to achieve practical quantum advantage using early fault-tolerant quantum computing devices equipped with only tens of thousands of qubits.

Materials like AlN and ZnO, once thought unswitchable, can switch polarization when layered with ferroelectrics. A proposed theory explains this phenomenon via internal fields that reshape energy barriers and enable switching.

Even shallow 2D quantum circuits can generate long-range entanglement during measurement, making them classically hard to simulate—not due to depth, but due to hidden complexity from measurements.

A new framework reveals symmetry-protected topological phases that exist only in open, noisy quantum systems, offering key insights for identifying and engineering robust quantum states in realistic environments.

Two new types of polariton Chern insulators rely on photonic crystals to achieve topological energy gaps over 10 meV—dramatically larger than previous efforts and well within reach experimentally.

Symmetry-protected topological phases can persist in mixed states despite disorder and noise, provided ensemble-averaged symmetry is maintained. This reveals new phases unique to mixed states, enhancing robustness for quantum technologies.

A new minimal model explains puzzling signs of the fractional quantum spin Hall effect in moiré materials, offering a simpler, unified framework for quantum many-body topology and transport behavior.

In rapidly growing oval squid, skin pigment cells form a “hyperdisordered” pattern where density fluctuations grow with scale, revealing a novel link between growth and patterning that may apply broadly across biological systems.

New tools for qLDPC error-correction codes enable fast, parallel logical operations with low qubit overhead, enabling efficient, fault-tolerant quantum computing on existing platforms.

A cost-effective quantum key distribution system achieves record key rates over 100 to 400 km using measurement-device-independent quantum key distribution and a novel postmeasurement laser drift compensation—without complex hardware.

Twisting two hBN flakes reveals new exciton behavior, including self-trapped excitons with strong exciton-phonon coupling. This twist enhances deep-UV luminescence, offering potential for improved hBN-based LEDs and quantum devices.

A theoretical framework explains how tissues select anisotropic growth to shape structures. Anisotropy reduces necessary variation of growth, predicting patterns similar to biological development and offering insights into morphogenesis.

A 96% fidelity in two-qubit operations between nitrogen-vacancy centers improves scalability for quantum registers in diamond, advancing its potential as a platform for large-scale, room-temperature quantum computing.

Impurity dynamics in Bose-Einstein condensates are governed by universal scaling laws, even when traditional quasiparticle models fail.

A new quantum framework reveals how chemistry and crystal structure govern high-temperature superconductivity, explaining behaviors seen in multilayer cuprates and guiding the search for room-temperature superconductors.

Injecting electrons into a single molecule with atomic precision reveals a cascaded photon emission process, demonstrating potential for a controllable, electrically powered quantum light source.

A new method to simulate spin-boson systems under noise uses classical and quantum stochastic equations, turning dissipation into a tool for exactly capturing quantum dynamics in realistic, noisy quantum devices.

In a kagome superconductor family, charge-density waves form directional electronic patterns that surprisingly resist alignment with local strain. This decoupling reveals a complex lattice-electron interplay.

Neutron diffraction reveals that superconductivity in UTe${}_2$ emerges near an incommensurate antiferromagnetic phase under pressure, pointing to antiferromagnetic—rather than ferromagnetic—correlations as a key driving force.

Ultrasensitive measurements reveal thermodynamic evidence for a type of quantum spin liquid in YCOB, with massless Dirac spinons detected at a magnetization plateau.

A new quantum algorithm solves planted inference problems with a quartic speedup and exponentially less memory than classical methods, offering practical gains even when considering quantum error correction.

A simplified quantum gravity model, which can be simulated using current quantum technologies, replicates key features of Einstein’s gravity, offering insights into the quantum nature of spacetime and paving the way for experimental exploration.

A new radio-frequency-driven gate is an order of magnitude faster than previous ones in static magnetic gradients and has a simplified design suitable for large-scale applications in different quantum computing platforms.

A combination of electron microscopy and machine learning reveals and classifies atomic defects in CrSBr, several of which seem to be quantum emitter candidates—key for quantum communication and sensing.

Rhombohedral-stacked MoS${}_2$ enables ultrafast, low-energy, nonvolatile optical switching via sliding ferroelectricity and Coulomb engineering, paving the way for energy-efficient reconfigurable photonic devices.

IBM’s 127-qubit processor solves an adapted version of Simon’s problem with exponential quantum speedup, making significant progress toward demonstrating algorithmic quantum advantage on real hardware.

Spin-momentum locking (SML) in antiferromagnets can arise from crystal symmetries, not just time reversal. A new classification reveals 12 elementary kinds of CSML and 142 host materials, opening paths to energy-efficient spintronic devices.

Liquid crystals can be coaxed into hosting an easily reconfigurable lattice of vortices useful for information encoding.

Bayesian-optimal methods for denoising factorized matrices of extensive rank reveal two phases: one where matrix structure does not affect performance and another where it becomes crucial.

Machine learning identifies the optimal mix of fundamental science and applied experiments to refine nuclear data for plutonium-239, dramatically accelerating progress in basic science and nuclear technology.

A new framework explains how twisted bilayer graphene hosts both localized charge and delocalized states, revealing a semimetallic thermal state at neutrality and a spectrally imbalanced Mott state at other charge fillings.

A new framework, homological measurement, enables fault-tolerant logical operations across a broad class of quantum error-correction codes known as CSS codes.

Ultracold fermions in a cavity self-organize into a charge-density wave up to 10 times faster than short-range interacting atoms, showing that long-range interactions can dramatically accelerate quantum phase transitions.

Topological phases require quantum entanglement that scales extensively with system size. This long-range entanglement is essential for supporting emergent particles, anomalous symmetries, and robust quantum error correction.

Quantum computers can emulate electronic materials when qubit interactions are tuned to mimic electron flow. This approach reveals how disorder and interactions affect conductivity in flat-band materials.

A powerful new model to study learning in neural networks reveals a sharp learning phase transition in sequential data tasks, offering a solvable framework to probe the behavior of transformerlike architectures.

Magnetic order at antiferromagnet surfaces can be predicted from bulk symmetries via atomic-site magnetoelectric responses, revealing a method for predicting how magnetism changes at a material’s surface compared to its interior.

A new THz-driven electron source achieves subcycle control of emission, producing 940-fs pulses with 46-keV energy and 2-pC charge—enabling ultrafast, high-precision imaging for compact accelerator technologies.

A superconducting quantum processor uses transmon qudits with up to eight levels, achieving 98.9% control fidelity via simultaneous spinlike transitions and demonstrating high-performance quantum Fourier transforms.

Allosteric proteins transmit signals through a nonlinear coupling between localized stiffness and soft deformations, revealing a conserved, lever-like mechanism behind long-range molecular communication.

The observation of a novel type of halo trimer—a three-particle molecule the size of a bacterium—in a mixture of ultracold atoms opens new avenues in few-body quantum physics.

Ideas from Morse theory reveal that smooth topological features called merons govern the complex linking and rearranging of defect lines in 3D nematic liquid crystals, offering a fuller understanding of their topology.