High-dimensional entanglement among photons allows for a roughly 10-km free-space quantum communication link in an urban environment that is robust to noise.

A new tool transforms pairwise interactions within a dataset into a cohesive global picture that predicts how the system can behave.

A new way for machine learning to disentangle representations of complex data relies on a single, simple model rather than adversarial training of two competing neural networks.

Compressing the spectral content of quantum interference features in Schrödinger cat states to lower frequencies protects them against photon loss and preserves the most valuable characteristics that enable many quantum technologies.

A deep neural network learns feedback-control protocols that convert information obtained from measuring a fluctuating nanosystem into heat or work.

In neural networks, a reward-based rule that relies on perturbing network weights can perform as well as or better than the more commonly studied node perturbation approach.

In open quantum systems, a macroscopic flow of particles and concomitant anomalous localization play an important role in the entanglement dynamics.

Precursors of superconductivity well above the critical temperature in K${}_3$C${}_{60}$ imply the presence of Cooper pairs at high temperature, which may help explain why light can raise the critical temperature of this material.

A new theoretical scheme of studying the 3D Ising transition—a celebrated phase transition in a model of ferromagnetism—provides insights into the conformal symmetry long conjectured to emerge.

This high-resolution imaging study investigates a unique interlinked DNA found in certain single-cell parasites and reveals the genome’s unusual structure and topology at single-molecule resolution.

A new theory, supported by large-scale numerical simulations, explores the conditions under which two Monte Carlo–based optimization algorithms can extract a signal from noisy data.

A new criterion for determining what materials can be fine-tuned to have very slowly moving electrons could lead to new platforms for studying novel phenomena arising from electron correlation.

The wave function of fermions always acquires a minus sign when particles trade places. But an experiment shows that fermions confined to a quasi-one-dimensional space seem to circumvent this exchange symmetry.

New computer simulations show that wave-particle interactions endow thin plasmas with an effective viscosity that regulates their turbulent motions and heating.

A new way of encoding multipoint correlation functions—key to representing complex correlations among particles—greatly reduces their computation time and storage requirements.

The first experimental demonstration of magnons, or spin waves, in a nanostructured moiré lattice sets the stage for exploring the potential role of such systems in novel magnonic devices for information processing.

An analysis of a common approach to describing singular superconducting circuits quantum mechanically shows that it can lead to wrong predictions of the system’s dynamics.

A new theory explains why our planets avoid collisions for far longer times than standard theories of planetary stability predict.

A simple modification to gravitational wave detector designs could allow future observatories to study the postmerger physics of a binary neutron star merger, to which current facilities are not sensitive.

The first ever “atlas” of continuous gravitational-wave amplitudes at every point on the sky provides a rich dataset in which to conduct searches for nonaxisymmetric neutron stars.

A trapped-ion quantum computer simulates the behavior of many-body quantum spin systems with interesting geometries and the effects of magnetic fields and interactions on them.

A study of the mechanical forces in certain immune cells may give new insights into how organisms deal with ever-evolving pathogens.

The first demonstration of optical coherent feedback in an optomechanical system controls the motion of a mechanical oscillator and cools it by more than 4 orders of magnitude, a prerequisite for quantum applications.

Non-Abelian frame charges—mathematical entities used to describe certain topological properties—can also help understand band degeneracies in ordinary optical media.

A novel technique reveals a high-fidelity local distortion of the atomic lattice in the charge-density-wave state of a cuprate, providing the first direct evidence of electron-lattice coupling in real space.

When quantum critical states are measured in many locations, new collective phenomena can emerge. There are transitions between two regimes: one where the effects of measurements on correlations are negligible, and one where they are dramatic.

A demonstration of an optical synthesizer—a laser light source whose wavelength can be programmed—showcases a tool that can provide arbitrary wavelength access to applications such as signal processing and quantum sensing.

A multilevel qubit, or “qudit,” in a superconducting transmon shows high fidelity with several rudimentary algorithms, demonstrating the potential of a quantum computing architecture based on up to four levels rather than just two.

A mathematical formalism for studying quasinormal gravitational-wave modes from coalescing black holes provides a tool for testing modifications to general relativity.

A combination of two techniques provides warning signs that the stress on a material will lead to failure.

A new demonstration involving hundreds of entangled atoms tests Schrödinger’s interpretation of Einstein, Rosen, and Podolsky’s classic thought experiment.

The “six degrees of separation” are the property of the equilibrium state of any network where individuals weigh their aspiration to improve their centrality against the costs incurred in forming or maintaining connections.

Measurements of titanium diselenide differentiate between the material’s optical phonons and charge-density-wave excitations, showing the use of tabletop extreme ultraviolet spectroscopy to probe charge-density-wave dynamics.

A new test for determining whether time-series data is Markovian overcomes limitations of existing techniques and lays a foundation for the simple classification of diverse nonequilibrium systems.

Future space-based gravitational-wave detectors could probe the physics of accretion disks surrounding massive black holes.

High-magnetic-field optical magnetometry requires precise information on how atomic resonances respond to those fields. New measurements of the relevant coefficients in cesium provide parts-per-million accuracy.

Experiments with coherently coupled superfluid mixtures investigate the magnetic properties across the paramagnetic-to-ferromagnetic phase transition in the absence of dissipative effects.

By describing network topology using an underlying geometric space, spatial Turing patterns can be found in the geometric embeddings of real networks.

A device’s selective interaction with left- and right-propagating modes could pave the way for directional information flow in quantum computing based on superconducting circuits.

A new framework for analyzing forces and currents in nonequilibrium systems generalizes existing graph-theoretical tools to now encompass interacting reaction networks and time-dependent properties.

Just as circuit theory breaks complex electrical circuits into simpler components, a new framework does the same for chemical reaction networks, providing tools to simplify the analysis of molecule and energy flow.

A new technique for emulating 2D lattice models with programmable geometries provides support for nonlocal order in 2D Hubbard models of interacting bosons.