A new classification of photocurrent responses in light of symmetry violations in the presence of magnetic order unveils two new types of photocurrent that can be readily tuned and enhanced by topological electronic structure in solids.

A novel experimental method provides direct images of excited states in a transition-metal compound without the need for complex calculations, a major step in understanding the rich physics of these materials.

Experiments reveal a host of unusual magnetic behaviors in the recently discovered layered magnetic topological insulator MnBi${}_2$Te${}_4$, paving the way for further study of its quantum properties.

Experiments on single cells of different budding yeast mutation strains reveal details about activation of a key genetic regulation mechanism, underlining the important role of noise in cell signaling pathways.

Using a megapixel high-speed camera, researchers reconstructed the trajectory of a laser pulse in time and 3D space.

Simulations show that thanks to a clear electronic mechanism, even the simplest crystal structure—the simple cubic phase of calcium—exhibits “chain melting,” in which 1D chains of atoms within a solid begin to move in concert as temperature increases.

Checkerboard charge patterns in a cuprate give way to glassy “charge puddles” as doping density increases, a finding that may help connect the emergence of charge orders with high-temperature superconductivity of these materials.

A new technique for continuously mitigating decoherence among the various parts of a quantum system offers a novel low-noise approach to maintaining qubit stability.

If many mechanisms ensure coexistence of species in an ecosystem, characteristic statistical patterns in interactions between species’ populations should arise, allowing for tests of theories about biodiversity persistence.

A set of protocols for initializing, controlling, and reading out a qubit design known as “heavy fluxonium,” operated in a previously unexplored regime, provides excellent coherence times and fast high-fidelity gates.

Experiments reveal relaxation behavior in an isolated quantum system similar to that observed in classical glasses, hinting at an overarching framework for slow relaxation dynamics.

By embedding opinions in a nonorthogonal topic space, a new model shows that a reinforcement mechanism driven by homophilic social interactions reproduces extreme and correlated opinion states found in surveys.

A novel analysis of a leading model of quantum spin liquids reveals an incredibly rich phase diagram with 15 distinct phases, a finding that will guide searches for spin liquids in 2D honeycomb materials.

Quantum Monte Carlo simulations of so-called “magic angle” twisted bilayer graphene reveal three novel insulating phases that may help elucidate the origin of unusual electronic behaviors in this material.

A metamaterial waveguide with embedded qubits offers a new platform for probing and controlling topological phenomena.

A new type of 4D higher-order topological system demonstrated in an acoustic crystal offers a powerful and novel approach to wave-steering applications.

Unusual interactions occur between phonons and electrons in the topological semimetal tungsten diphosphide, a finding that could explain some of the material’s strange properties.

Experiments show signatures of a long-sought-after condensed quantum phase—the so-called Bardeen-Cooper-Schrieffer state—in a semiconductor microcavity, laying the foundation for future efficient semiconductor lasers.

Long-time trapping of a single electron could allow the particle to be used as an efficient quantum bit.

Product formulas offer a powerful, simple approach to quantum simulation. A new theory quantifying their errors puts these algorithms on a rigorous foundation, showcasing their superiority over other methods.

Evidence of an exotic intermediate state—an anapole state—between the liquid and solid phases of electrons in a transition-metal oxide provides the first in-depth look at this long-sought, mysterious phase.

Dual-unitary quantum circuits are a class of many-body models that allow for direct computation of useful diagnostics. A new study shows that important features of these models are stable under perturbations.

One class of quantum error-correcting codes—hypergraph product codes—may offer fault tolerance with low hardware overhead. A new proposal shows how to perform universal quantum gates with these codes.

High-pressure neutron studies of so-called magnetic graphene unveil exotic new states and behaviors as the material transitions from an insulator to a metal when compressed.

A new approach for studying friction on ice helps explain why the ease of sliding depends strongly on temperature, contact pressure, and speed.

A new theory explains the lack of variation in the refractive indices of atomic gases.

Fast, high-fidelity measurement of a superconducting qubit with a microwave photon counter offers a strong foundation for error correction in future, robust, large-scale quantum computers.

New analysis shows how to calculate the fundamental precision bounds of a quantum sensor that measures two signals simultaneously, solving a difficult problem in quantum estimation theory.

Temporal and spectral resolution of x-ray spectroscopy can be improved by exploiting correlations of existing stochastic x-ray fields, allowing for new investigations of electron and nuclear dynamics in molecules.

Measurements of a quantum system can support distinct entanglement phases and transitions, a counterintuitive result with implications for creating robust, fault-tolerant quantum information devices.

State-of-the-art many-body simulations can predict the magnetic ground state of over 100 materials from first principles, pushing the exploration and design of magnetic materials to a new era.

A newly proposed superconducting circuit architecture employs a synthetic magnetic field to create a qubit that is intrinsically protected from noise.

In tightly packed tissues, a cancer cell’s motility is linked to the shape of the cell and of its nucleus.

A small concentration of vacancies in the Kitaev model of quantum spin liquids (QSLs) alter its low-energy physics, offering a plausible explanation for recent experimental results on the QSL-hosting compound H${}_3$LiIr${}_2$O${}_6$.

Researchers have transported an atom between two locations in the shortest possible time, an achievement that has implications for quantum technologies.

Researchers have developed an ion-optics-based quantum microscope that has sufficient resolution to image individual atoms.

Observations of fluctuations in a dipolar quantum gas provide insight into the mechanism underlying the superfluid-to-supersolid phase transition.

A demonstration of “cryptographic agility” in quantum communications offers a robust way to adapt security protocols in the face of a novel attack.

Experiments show that an intrinsic magnetic topological insulator is a good platform for exploring half-quantized surface resistivity, a hallmark of elusive axion dynamics.

A generic statistical property of large data sets that describe equilibrium systems can reveal phase transition properties, thus introducing a new data-based viewpoint on phase transitions.

Theoretical work shows that quasi-one-dimensional topological superconductors can emerge in certain 1D quantum structures, offering a path to engineering behaviors essential to quantum computing.

Arrays of nanomagnets known as artificial spin ice can host high densities of mobile magnetic monopolelike quasiparticles at room temperature, opening the door to new studies of magnetic charges in synthetic matter.

Microscopy experiments reveal how oil droplets dissolving in a water solution change up their “swimming” patterns as the viscosity of the solution changes.

Optimal control for artificial selection offers a new paradigm for directing stochastic evolution of multivariate molecular characteristics and phenotypes toward desired targets.

Contrary to common belief, the softness of polymer gels is determined by negative energy elasticity and not only by entropy elasticity, a key finding for designing gels used in medical applications at various temperatures.

The second law of thermodynamics limits the potential for any system to serve as a clock, while the system’s complexity determines how well this can be achieved in practice.

An analysis of the “area law” for thermal states shows the presence of much weaker correlations than previously believed, providing an avenue for more efficient simulations of quantum many-body systems.

To predict and control the spread of collaborative epidemics or competing marketing campaigns, new computationally efficient algorithms offer crucial insights in scenarios where multiple processes interact.

A generalization of quantum hydrodynamic theory provides a new, accurate approach to calculating the optical response of a plasmonic system beyond classical electromagnetism.

A complex interplay of electric and magnetic behaviors resides in the parent compound of a nickel oxide material known to host high-temperature superconductivity, a finding that may guide studies into this phenomenon.

A new computational method solves a major problem in biology—how to obtain 3D coordinates of positions on chromosomes from 2D “contact maps” that encode distances between the positions.

A trained neural network predicts intermediate shapes for proteins, opening the door to new techniques for pharmaceutical discovery and design.

Simulations of turbulent quantum and classical fluids show that the collective behavior of vortices in quantum flows within different-sized regions is very similar to that in classical turbulence.

Topological defects in nematic electrolytes can separate electric charges and stabilize them without the need for additional surfaces, with possible applications in microelectronics.

A novel technique for probing photoinduced superconductivity supports the existence of such a state in the compound K${}_3$C${}_{60}$ by demonstrating large Higgs mode oscillations.

A mathematical framework for organizing correlators in conformal field theory (CFT) and corresponding scattering amplitudes in anti–de Sitter (AdS) space greatly enhances the computing power of AdS/CFT for analyzing quantum gravity.

Floquet engineering uses periodic driving to design novel quantum matter but is limited by dissipation. Experiments show how to use interference between related drives to combat these losses.

An extensive assessment of the ability of many computational methods to tackle the fundamental model of interacting particles, the Hubbard model, reveals the nature and role of magnetic fluctuations.

By injecting electrons into the Mott state of tantalum disulfide, experiments reveal new, unexpected electronic behaviors that could shed light on the underlying interactions that create this exotic state.

Experiments show that polarized neutron diffraction is an effective tool for determining the direction of a basic magnetic interaction that impacts spintronics devices and topological materials.

Counter to intuition, a mathematical analysis shows that any quantum state can be a “quantum catalyst”—a special reusable state that makes certain manipulations possible—as long as there are enough copies.

A new mechanism to engineer residually stressed thin sheets exploits the intrinsic tendency of the sheet to bend, a key insight for developing self-shaping materials.

New mathematical models show that it is possible for “chiral” fermions to acquire mass without the electroweak symmetry breaking that comes from the Higgs boson.